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At the most basic level, a SIEM system can be rules-based or employ a statistical correlation engine to establish relationships between event log entries. Advanced SIEM products have evolved to include user and entity behavior analytics (UEBA) and security orchestration and automated response (SOAR). \r\nThe acronyms SEM, SIM and SIEM have sometimes been used interchangeably, but generally refer to the different primary focus of products:\r\n<ul><li><span style=\"font-weight: bold;\">Log management:</span> Focus on simple collection and storage of log messages and audit trails.</li><li><span style=\"font-weight: bold;\">Security information management (SIM):</span> Long-term storage as well as analysis and reporting of log data.</li><li><span style=\"font-weight: bold;\">Security event manager (SEM):</span> Real-time monitoring, correlation of events, notifications and console views.</li><li><span style=\"font-weight: bold;\">Security information event management (SIEM):</span> Combines SIM and SEM and provides real-time analysis of security alerts generated by network hardware and applications.</li><li><span style=\"font-weight: bold;\">Managed Security Service (MSS) or Managed Security Service Provider (MSSP):</span> The most common managed services appear to evolve around connectivity and bandwidth, network monitoring, security, virtualization, and disaster recovery.</li><li><span style=\"font-weight: bold;\">Security as a service (SECaaS):</span> These security services often include authentication, anti-virus, anti-malware/spyware, intrusion detection, Penetration testing and security event management, among others.</li></ul>\r\nToday, most of SIEM technology works by deploying multiple collection agents in a hierarchical manner to gather security-related events from end-user devices, servers, network equipment, as well as specialized security equipment like firewalls, antivirus or intrusion prevention systems. The collectors forward events to a centralized management console where security analysts sift through the noise, connecting the dots and prioritizing security incidents.\r\nSome of the most important features to review when evaluating Security Information and Event Management software are:\r\n<ol><li><span style=\"font-weight: bold; \">Integration with other controls:</span> Can the system give commands to other enterprise security controls to prevent or stop attacks in progress?</li><li><span style=\"font-weight: bold; \">Artificial intelligence:</span> Can the system improve its own accuracy by through machine and deep learning?</li><li><span style=\"font-weight: bold; \">Threat intelligence feeds:</span>&nbsp; Can the system support threat intelligence feeds of the organization's choosing or is it mandated to use a particular feed?</li><li><span style=\"font-weight: bold; \">Robust compliance reporting:</span>&nbsp; Does the system include built-in reports for common compliance needs and the provide the organization with the ability to customize or create new compliance reports?</li><li><span style=\"font-weight: bold; \">Forensics capabilities:</span>&nbsp; Can the system capture additional information about security events by recording the headers and contents of packets of interest? </li></ol>\r\n\r\n\r\n","materialsDescription":"<h1 class=\"align-center\"> Why is SIEM Important?</h1>\r\nSIEM has become a core security component of modern organizations. The main reason is that every user or tracker leaves behind a virtual trail in a network’s log data. SIEM software is designed to use this log data in order to generate insight into past attacks and events. A SIEM solution not only identifies that an attack has happened, but allows you to see how and why it happened as well.\r\nAs organizations update and upscale to increasingly complex IT infrastructures, SIEM has become even more important in recent years. Contrary to popular belief, firewalls and antivirus packages are not enough to protect a network in its entirety. Zero-day attacks can still penetrate a system’s defenses even with these security measures in place.\r\nSIEM addresses this problem by detecting attack activity and assessing it against past behavior on the network. A security event monitoring has the ability to distinguish between legitimate use and a malicious attack. This helps to increase a system’s incident protection and avoid damage to systems and virtual property.\r\nThe use of SIEM also helps companies to comply with a variety of industry cyber management regulations. Log management is the industry standard method of auditing activity on an IT network. SIEM management provides the best way to meet this regulatory requirement and provide transparency over logs in order to generate clear insights and improvements.\r\n<h1 class=\"align-center\">Evaluation criteria for security information and event management software:</h1>\r\n<ul><li>Threat identification: Raw log form vs. descriptive.</li><li>Threat tracking: Ability to track through the various events, from source to destination.</li><li>Policy enforcement: Ability to enforce defined polices.</li><li>Application analysis: Ability to analyze application at Layer 7 if necessary.</li><li>Business relevance of events: Ability to assign business risk to events and have weighted threat levels.</li><li>Measuring changes and improvements: Ability to track configuration changes to devices.</li><li>Asset-based information: Ability to gather information on devices on the network.</li><li>Anomalous behavior (server): Ability to trend and see changes in how it communicates to others.</li><li>Anomalous behavior (network): Ability to trend and see how communications pass throughout the network.</li><li>Anomalous behavior (application): Ability to trend and see changes in how it communicates to others.</li><li>User monitoring: User activity, logging in, applications usage, etc.</li></ul>\r\n\r\n","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_SIEM.png","alias":"siem-security-information-and-event-management"},"52":{"id":52,"title":"SaaS - software as a service","description":"<span style=\"font-weight: bold;\">Software as a service (SaaS)</span> is a software licensing and delivery model in which software is licensed on a subscription basis and is centrally hosted. It is sometimes referred to as &quot;on-demand software&quot;, and was formerly referred to as &quot;software plus services&quot; by Microsoft.\r\n SaaS services is typically accessed by users using a thin client, e.g. via a web browser. SaaS software solutions has become a common delivery model for many business applications, including office software, messaging software, payroll processing software, DBMS software, management software, CAD software, development software, gamification, virtualization, accounting, collaboration, customer relationship management (CRM), Management Information Systems (MIS), enterprise resource planning (ERP), invoicing, human resource management (HRM), talent acquisition, learning management systems, content management (CM), Geographic Information Systems (GIS), and service desk management. SaaS has been incorporated into the strategy of nearly all leading enterprise software companies.\r\nSaaS applications are also known as <span style=\"font-weight: bold;\">Web-based software</span>, <span style=\"font-weight: bold;\">on-demand software</span> and<span style=\"font-weight: bold;\"> hosted software</span>.\r\nThe term &quot;Software as a Service&quot; (SaaS) is considered to be part of the nomenclature of cloud computing, along with Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS),managed software as a service (MSaaS), mobile backend as a service (MBaaS), and information technology management as a service (ITMaaS).\r\nBecause SaaS is based on cloud computing it saves organizations from installing and running applications on their own systems. That eliminates or at least reduces the associated costs of hardware purchases and maintenance and of software and support. The initial setup cost for a SaaS application is also generally lower than it for equivalent enterprise software purchased via a site license.\r\nSometimes, the use of SaaS cloud software can also reduce the long-term costs of software licensing, though that depends on the pricing model for the individual SaaS offering and the enterprise’s usage patterns. In fact, it’s possible for SaaS to cost more than traditional software licenses. This is an area IT organizations should explore carefully.<br />SaaS also provides enterprises the flexibility inherent with cloud services: they can subscribe to a SaaS offering as needed rather than having to buy software licenses and install the software on a variety of computers. The savings can be substantial in the case of applications that require new hardware purchases to support the software.<br /><br /><br /><br />","materialsDescription":"<h1 class=\"align-center\"><span style=\"font-weight: normal;\">Who uses SaaS?</span></h1>\r\nIndustry analyst Forrester Research notes that SaaS adoption has so far been concentrated mostly in human resource management (HRM), customer relationship management (CRM), collaboration software (e.g., email), and procurement solutions, but is poised to widen. Today it’s possible to have a data warehouse in the cloud that you can access with business intelligence software running as a service and connect to your cloud-based ERP like NetSuite or Microsoft Dynamics.The dollar savings can run into the millions. And SaaS installations are often installed and working in a fraction of the time of on-premises deployments—some can be ready in hours. \r\nSales and marketing people are likely familiar with Salesforce.com, the leading SaaS CRM software, with millions of users across more than 100,000 customers. Sales is going SaaS too, with apps available to support sales in order management, compensation, quote production and configure, price, quoting, electronic signatures, contract management and more.\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">Why SaaS? Benefits of software as a service</span></h1>\r\n<ul><li><span style=\"font-weight: bold;\">Lower cost of entry</span>. With SaaS solution, you pay for what you need, without having to buy hardware to host your new applications. Instead of provisioning internal resources to install the software, the vendor provides APIs and performs much of the work to get their software working for you. The time to a working solution can drop from months in the traditional model to weeks, days or hours with the SaaS model. In some businesses, IT wants nothing to do with installing and running a sales app. In the case of funding software and its implementation, this can be a make-or-break issue for the sales and marketing budget, so the lower cost really makes the difference.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Reduced time to benefit/rapid prototyping</span>. In the SaaS model, the software application is already installed and configured. Users can provision the server for the cloud and quickly have the application ready for use. This cuts the time to benefit and allows for rapid demonstrations and prototyping. With many SaaS companies offering free trials, this means a painless proof of concept and discovery phase to prove the benefit to the organization. </li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Pay as you go</span>. SaaS business software gives you the benefit of predictable costs both for the subscription and to some extent, the administration. Even as you scale, you can have a clear idea of what your costs will be. This allows for much more accurate budgeting, especially as compared to the costs of internal IT to manage upgrades and address issues for an owned instance.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">The SaaS vendor is responsible for upgrades, uptime and security</span>. Under the SaaS model, since the software is hosted by the vendor, they take on the responsibility for maintaining the software and upgrading it, ensuring that it is reliable and meeting agreed-upon service level agreements, and keeping the application and its data secure.&nbsp; While some IT people worry about Software as a Service security outside of the enterprise walls, the likely truth is that the vendor has a much higher level of security than the enterprise itself would provide. Many will have redundant instances in very secure data centers in multiple geographies.&nbsp; Also, the data is being automatically backed up by the vendor, providing additional security and peace of mind. Because of the data center hosting, you’re getting the added benefit of at least some disaster recovery. Lastly, the vendor manages these issues as part of their core competencies—let them.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Integration and scalability.</span> Most SaaS apps are designed to support some amount of customization for the way you do business. SaaS vendors create APIs to allow connections not only to internal applications like ERPs or CRMs but also to other SaaS providers. One of the terrific aspects of integration is that orders written in the field can be automatically sent to the ERP. Now a salesperson in the field can check inventory through the catalog, write the order in front of the customer for approval, send it and receive confirmation, all in minutes. And as you scale with a SaaS vendor, there’s no need to invest in server capacity and software licenses. </li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Work anywhere</span>. Since the software is hosted in the cloud and accessible over the internet, users can access it via mobile devices wherever they are connected. This includes checking customer order histories prior to a sales call, as well as having access to real time data and real time order taking with the customer.</li></ul>\r\n<p class=\"align-left\">&nbsp;</p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/SaaS__1_.png","alias":"saas-software-as-a-service"},"204":{"id":204,"title":"Managed Detection and Response","description":" MDR, which stands for Managed Detection &amp; Response, is an all-encompassing threat detection system, which arose from the need for small/medium-sized organizations who lack resources to be able to monitor their network systems in-house. It provides a cost-effective alternative to SIEM (Security Information and Event Management).\r\nEveryday, the capabilities of attackers get more sophisticated and the volume of alerts becomes overwhelming and unmanageable. In-house teams might struggle to analyze and log data, which makes it harder than ever to determine if these threats are harmful. MDR can put a stop to attacks before they even happen. MDR technology monitors your systems and detects any unusual behavior, whilst our expert team responds to the threats detected within your business.\r\nMDR offers real-time threat intelligence, and is able to analyse behaviour which can be missed by traditional endpoint security technology. MDR also provides rapid identification of known threats, which in turn minimises overall attacks. Having remote incident investigation will minimise damage to your business, and will allow you to get back to work in no time. It’s important to note that using MDR services will allow third party access to your company's data. You need to consider working with a provider who understands and respects your data policy.","materialsDescription":" <span style=\"font-weight: bold;\">What is Managed Detection and Response?</span>\r\nManaged Detection and Response (MDR) is a managed cybersecurity service that provides intrusion detection of malware and malicious activity in your network, and assists in rapid incident response to eliminate those threats with succinct remediation actions. MDR typically combines a technology solution with outsourced security analysts that extend your technologies and team.\r\n<span style=\"font-weight: bold;\">Isn’t that What MSSPs or Managed SIEMs Do?</span>\r\nNo. Managed Security Service Providers (MSSPs) monitor network security controls and may send alerts when anomalies are identified. MSSPs typically do not investigate the anomalies to eliminate false positives, nor do they respond to real threats. This means that abnormalities in network usage are forwarded to your IT personnel who must then dig through the data to determine if there is a real threat and what to do about it.\r\n<span style=\"font-weight: bold;\">Doesn’t My Firewall Protect My Network?</span>\r\nFirewalls and other preventive forms of cybersecurity are very important and effective at preventing basic cyberattacks. However, over the past decade, it has become clear that preventive cybersecurity technologies are not enough to secure an organization’s network. Further, they are yet another source of alerts, log messages, and events that contribute to the “alert fatigue” being universally suffered today. Recent major hacks such as the Marriot Hack of 2018, the Anthem Hack of 2015, and the Target Hack of 2013 demonstrate how easily cybercriminals can breach networks at enterprise organizations to steal millions of credit card numbers, medical records, and other forms of PII/PHI.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Endpoint_Detection_and_Response.png","alias":"managed-detection-and-response"},"465":{"id":465,"title":"UEBA - User and Entity Behavior Analytics","description":"Developments in UBA technology led Gartner to evolve the category to user and entity behavior analytics (UEBA). In September 2015, Gartner published the Market Guide for User and Entity Analytics by Vice President and Distinguished Analyst, Avivah Litan, that provided a thorough definition and explanation. UEBA was referred to in earlier Gartner reports but not in much depth. Expanding the definition from UBA includes devices, applications, servers, data, or anything with an IP address. It moves beyond the fraud-oriented UBA focus to a broader one encompassing &quot;malicious and abusive behavior that otherwise went unnoticed by existing security monitoring systems, such as SIEM and DLP.&quot; The addition of &quot;entity&quot; reflects that devices may play a role in a network attack and may also be valuable in uncovering attack activity. &quot;When end users have been compromised, malware can lay dormant and go undetected for months. Rather than trying to find where the outsider entered, UEBAs allow for quicker detection by using algorithms to detect insider threats.&quot;\r\nParticularly in the computer security market, there are many vendors for UEBA applications. They can be &quot;differentiated by whether they are designed to monitor on-premises or cloud-based software as a service (SaaS) applications; the methods in which they obtain the source data; the type of analytics they use (i.e., packaged analytics, user-driven or vendor-written), and the service delivery method (i.e., on-premises or a cloud-based).&quot; According to the 2015 market guide released by Gartner, &quot;the UEBA market grew substantially in 2015; UEBA vendors grew their customer base, market consolidation began, and Gartner client interest in UEBA and security analytics increased.&quot; The report further projected, &quot;Over the next three years, leading UEBA platforms will become preferred systems for security operations and investigations at some of the organizations they serve. It will be—and in some cases already is—much easier to discover some security events and analyze individual offenders in UEBA than it is in many legacy security monitoring systems.&quot;","materialsDescription":"<span style=\"font-weight: bold;\">What is UEBA?</span>\r\nHackers can break into firewalls, send you e-mails with malicious and infected attachments, or even bribe an employee to gain access into your firewalls. Old tools and systems are quickly becoming obsolete, and there are several ways to get past them.\r\nUser and entity behavior analytics (UEBA) give you more comprehensive way of making sure that your organization has top-notch IT security, while also helping you detect users and entities that might compromise your entire system.\r\nUEBA is a type of cybersecurity process that takes note of the normal conduct of users. In turn, they detect any anomalous behavior or instances when there are deviations from these “normal” patterns. For example, if a particular user regularly downloads 10 MB of files every day but suddenly downloads gigabytes of files, the system would be able to detect this anomaly and alert them immediately.\r\nUEBA uses machine learning, algorithms, and statistical analyses to know when there is a deviation from established patterns, showing which of these anomalies could result in, potentially, a real threat. UEBA can also aggregate the data you have in your reports and logs, as well as analyze the file, flow, and packet information.\r\nIn UEBA, you do not track security events or monitor devices; instead, you track all the users and entities in your system. As such, UEBA focuses on insider threats, such as employees who have gone rogue, employees who have already been compromised, and people who already have access to your system and then carry out targeted attacks and fraud attempts, as well as servers, applications, and devices that are working within your system.\r\n<span style=\"font-weight: bold;\">What are the benefits of UEBA?</span>\r\nIt is the unfortunate truth that today's cybersecurity tools are fast becoming obsolete, and more skilled hackers and cyber attackers are now able to bypass the perimeter defenses that are used by most companies. In the old days, you were secure if you had web gateways, firewalls, and intrusion prevention tools in place. This is no longer the case in today’s complex threat landscape, and it’s especially true for bigger corporations that are proven to have very porous IT perimeters that are also very difficult to manage and oversee.\r\nThe bottom line? Preventive measures are no longer enough. Your firewalls are not going to be 100% foolproof, and hackers and attackers will get into your system at one point or another. This is why detection is equally important: when hackers do successfully get into your system, you should be able to detect their presence quickly in order to minimize the damage.\r\n<span style=\"font-weight: bold;\">How Does UEBA Work?</span>\r\nThe premise of UEBA is actually very simple. You can easily steal an employee’s user name and password, but it is much harder to mimic the person’s normal behavior once inside the network.\r\nFor example, let’s say you steal Jane Doe’s password and user name. You would still not be able to act precisely like Jane Doe once in the system unless given extensive research and preparation. Therefore, when Jane Doe’s user name is logged in to the system, and her behavior is different than that of typical Jane Doe, that is when UEBA alerts start to sound.\r\nAnother relatable analogy would be if your credit card was stolen. A thief can pickpocket your wallet and go to a high-end shop and start spending thousands of dollars using your credit card. If your spending pattern on that card is different from the thief’s, the company’s fraud detection department will often recognize the abnormal spending and block suspicious purchases, issuing an alert to you or asking you to verify the authenticity of a transaction.\r\nAs such, UEBA is a very important component of IT security, allowing you to:\r\n1. Detect insider threats. It is not too far-fetched to imagine that an employee, or perhaps a group of employees, could go rogue, stealing data and information by using their own access. UEBA can help you detect data breaches, sabotage, privilege abuse and policy violations made by your own staff.\r\n2. Detect compromised accounts. Sometimes, user accounts are compromised. It could be that the user unwittingly installed malware on his or her machine, or sometimes a legitimate account is spoofed. UEBA can help you weed out spoofed and compromised users before they can do real harm.\r\n3. Detect brute-force attacks. Hackers sometimes target your cloud-based entities as well as third-party authentication systems. With UEBA, you are able to detect brute-force attempts, allowing you to block access to these entities.\r\n4. Detect changes in permissions and the creation of super users. Some attacks involve the use of super users. UEBA allows you to detect when super users are created, or if there are accounts that were granted unnecessary permissions.\r\n5. Detect breach of protected data. If you have protected data, it is not enough to just keep it secure. You should know when a user accesses this data when he or she does not have any legitimate business reason to access it.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_User_and_Entity_Behavior_Analytics.png","alias":"ueba-user-and-entity-behavior-analytics"},"854":{"id":854,"title":"Security Orchestration and Automation","description":" SOAR (Security Orchestration, Automation and Response) is a solution stack of compatible software programs that allow an organization to collect data about security threats from multiple sources and respond to low-level security events without human assistance. The goal of using a SOAR stack is to improve the efficiency of physical and digital security operations. The term, which was coined by the research firm Gartner, can be applied to compatible products and services that help define, prioritize, standardize and automate incident response functions.\r\nSOAR solutions are gaining visibility and real-world use driven by early adoption to improve security operations centers. Security and risk management leaders should start to evaluate how these solutions can support and optimize their broader security operations capabilities.\r\nSecurity orchestration, automation and response (SOAR) defines as technologies that enable organizations to take inputs from a variety of sources (mostly from security information and event management [SIEM] systems) and apply workflows aligned to processes and procedures. These can be orchestrated via integrations with other technologies and automated to achieve a desired outcome and greater visibility. Additional capabilities include case and incident management features; the ability to manage threat intelligence, dashboards and reporting; and analytics that can be applied across various functions. SOAR tools significantly enhance security operations activities like threat detection and response by providing machine-powered assistance to human analysts to improve the efficiency and consistency of people and processes.\r\nMost SOAR tools are still strongest in their original &quot;home offerings&quot;, which are security incident and response platforms (SIRPs), security orchestration and automation (SOA), and threat intelligence platforms (TIPs). Currently, the most common use case for SOAR by an organization is to define incident analysis and response procedures in a digital workflow format — such as plays in a security operations playbook. Additionally, these tools facilitate the use and operationalization of threat intelligence in security operations, which enhances the ability to predict, prevent, detect and respond to the prevailing threat landscape that a company faces.\r\nTo understand the evolving SOAR market, it is necessary to define the specific terms used — namely, orchestration and automation — in the context of security operations:\r\n<ul><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Aggregation:</span></span> The ability to aggregate/ingest data across sources. This may take the form of alerts, signals or other inputs from other technologies such as an alert from a SIEM tool or an email sent to a group mailbox. Other data that is ingested may include user information from an identity and access management (IAM) tool or threat intelligence from multiple sources.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Enrichment:</span></span> Whether after incident identification or during data collection and processing, SOAR solutions can help integrate external threat intelligence, perform internal contextual lookups or run processes to gather further data according to defined actions.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Orchestration:</span></span> The complexity of combining resources involves coordination of workflows with manual and automated steps, involving many components and affecting information systems and often humans as well.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Automation:</span></span> This concept involves the capability of software and systems to execute functions on their own, typically to affect other information systems and applications.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Response:</span></span> Manual or automated response provides canned resolution to programmatically defined activities. This includes activities from a basic level — ticket creation in an IT service desk application — to more advanced activities like applying some form of response via another security control, like blocking an IP address by changing a firewall rule. This functionality is the most impactful but also applies to the most complex use cases.</li></ul>\r\nBuyers are expressing demand for SOAR for several reasons:\r\n<ul><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Staff shortages:</span></span> Due to staff shortages in security operations, clients describe a growing need to automate repeatable tasks, streamline workflows and orchestrate security tasks resulting in operational scale. For instance, if you have a team, SOAR can give them more reach — but this is not a tool to get instead of a team. Also, organizations need the ability to demonstrate to management the organization’s ability to reduce the impact of inevitable incidents.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Continued evolution of threats and increases in volume:</span></span> As organizations consider threats that destroy data and can result in disclosure of intellectual property and monetary extortion, they require rapid, consistent, continuous and more frequent responses with fewer manual steps.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Improving alert triage quality and speed:</span></span> Security monitoring systems (such as SIEMs) are known to cost a significant amount to run and generate a high number of alerts, including many found to be “false positives” or simply not relevant after additional investigation. Security and risk management leaders then treat alert triage in a very manual way, which is subject to mistakes by the analysts. This leaves real incidents ignored. SOAR helps improve the signal-to-noise ratio by automating the repeatable, mundane aspects of incident investigation. This creates a positive situation where analysts can spend more time investigating and responding to an event instead of spending most of their time collecting all the data required to perform the investigation.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Need for a centralized view of threat intelligence:</span></span> A large number of security controls on the market today benefit from threat intelligence. SOAR tools allow for the centralized collection, aggregation, deduplication, enrichment of existing data with threat intelligence and, importantly, conversion of intelligence into action.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Reducing time to respond, contain and remediate:</span></span> Organizations are dealing with increasingly aggressive threats, such as ransomware, where rapid response of only minutes at best is required in order to stand a chance of containing the threat that is spread laterally in your environment. This scenario forces organizations to reduce the time they take to respond to those incidents, typically by delegating more tasks to machines. Reducing the response time, including incident containment and remediation, is one of the most effective ways to control the impact of security incidents. Like a brush fire, the sooner you can get to it, the smaller it is, and therefore the easier it is to put out.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Reducing unnecessary, routine work for the analysts:</span></span> SOC analysts are often working with multiple tools. They are looking at a stream of row and column SIEM console alerts, threat intelligence (TI) service portals for information about the entities involved, and endpoint detection and response (EDR) for context on what is happening on the affected endpoint. They may even be using workflow tools to control the triage and investigation processes.</li></ul>\r\nThe SOAR market is still an emerging market and it is forecast to grow up to $550 million in the five-year (2018-2023) time frame. Many organizations implement SOAR tools with use cases primarily focused on making their SOC analysts more efficient such that they can process more incidents while having more time to apply human analysis and drive response actions much quicker. Historically, they were not aware of the existence of these types of solutions. There are now more clients aware of SOAR solutions, which is fueling further adoption. This awareness is broadening; even SOAR vendors claim to have less work evangelizing about the technology and more conversations about their capabilities and differentiators. However, improving detection and response activities is just one of several opportunities for the use of SOAR tools to support security operations activities.\r\nSince SOAR is often used as an umbrella term that covers security operations, security incident response and threat intelligence, many vendors are driving their existing solutions in the fight for market leadership.","materialsDescription":" <span style=\"font-weight: bold; \">What is SOAR?</span>\r\nCoined by research company Gartner, Security Orchestration, Automation and Response (SOAR) is a term used to describe the convergence of three distinct technology markets: security orchestration and automation, security incident response platforms (SIRP), and threat intelligence platforms (TIP).\r\nSOAR technologies enable organizations to collect and aggregate vast amounts of security data and alerts from a wide range of sources. This assists human and machine-led analysis, as well as the standardization and automation of threat detection and remediation.\r\n<span style=\"font-weight: bold;\">What are the activities of SOAR?</span>\r\nSOAR supports multiple activities for security operations decision making such as, but not limited to, the following:\r\n<ul><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Prioritizing security operations activities:</span></span> Use of a SOAR solution requires organizations to consider questions about their processes. Which are most critical? Which ones consume the most staff time and resources? Which ones would benefit from automation? Where do we have gaps in our documented procedures? The preparation and planning for SOAR, and its ongoing use, help organizations prioritize and manage where orchestration and automation should be applied and where it can help improve response. This response can then lead to improvements in security operations and showing a demonstrable impact on business operations (e.g., faster time to detect and respond to threats that could impact business operations and optimization of security operations staff and budget).</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Formalizing triage and incident response:</span></span> Security operations teams must be consistent in their responses to incident and threats. They must also follow best practices, provide an audit trail and be measurable against business objectives.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Automating response:</span></span> Speed is of the essence in today’s threat landscape. Attacks are increasing in speed (e.g., ransomware is now being automated to spread with worm functionality), but security operations are not automated. Having the ability to automate response action offers SOC teams the ability to quickly isolate/contain security incidents. Some responses can be fully automated, but at this time many SOAR users still inject a human to make the final decision. However, even this reduces the mean time to respond for the organization compared to being fully dependent on “human power.”</li></ul>\r\n<span style=\"font-weight: bold;\">SOAR Recommendations</span>\r\nSecurity and risk management leaders overseeing security operations should:\r\n<ul><li>Prepare for their SOAR implementations by having a starting set of defined processes and workflows that can be implemented. Out-of-the-box plays and integrations are a starting point but can rarely be implemented without some customizations.</li><li>Plan for the implementation and the ongoing operation and administration of SOAR tools by using a mix of professional services and internal resources.</li><li>Put a contingency plan in place in the event the SOAR tool is acquired by another vendor. Acquisitions are occurring with some frequency as the market evolves. Buyers should be prepared.</li></ul>\r\n<span style=\"font-weight: bold;\">Key Findings</span>\r\n<ul><li>The SOAR technology market aims to converge security orchestration and automation (SOA), security incident response (SIR) and threat intelligence platform (TIP) capabilities into single solutions.</li><li>Early adopters of SOAR technologies have been organizations and managed security service providers with mature security operations centers (SOCs) that understood the benefits of incorporating SOAR capabilities into their operations. However, use cases implemented by early adopters have not evolved over the last 12 months and are stuck in a rut, limiting the long-term potential for SOAR in security operations.</li><li>SOAR solutions are not “plug-and-play.” Even though solutions have a library of out-of-the-box use cases and integrations, buyers are reporting multiweek professional services engagements to implement their initial use cases, as every organization’s processes and technologies deployed are different.</li><li>Orchestration and automation are starting to be localized in point security technologies, usually in the form of predefined, automated workflows. This is not the same as a full-featured SOAR solution.<br /></li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/automation-engineering-management-computer-icons.png","alias":"security-orchestration-and-automation"}},"branches":"Information Technology","companyUrl":"https://www.exabeam.com/","countryCodes":[],"certifications":[],"isSeller":true,"isSupplier":true,"isVendor":true,"presenterCodeLng":"","seo":{"title":"Exabeam","keywords":"Exabeam, security, information, Venture, Partners, data, Ventures, management","description":"Exabeam provides security intelligence and management solutions to help organizations of any size protect their most valuable information. The Exabeam Security Intelligence Platform uniquely combines a data lake for unlimited data collection at a predictable p","og:title":"Exabeam","og:description":"Exabeam provides security intelligence and management solutions to help organizations of any size protect their most valuable information. The Exabeam Security Intelligence Platform uniquely combines a data lake for unlimited data collection at a predictable p","og:image":"https://old.roi4cio.com/uploads/roi/company/Exabeam.png"},"eventUrl":"","vendorPartners":[],"supplierPartners":[],"vendoredProducts":[{"id":1660,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Exabeam.png","logo":true,"scheme":false,"title":"Exabeam Advanced Analytics","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"exabeam-advanced-analytics","companyTitle":"Exabeam","companyTypes":["supplier","vendor"],"companyId":4093,"companyAlias":"exabeam","description":"<span style=\"font-weight: bold;\">Complex Threat Identification with Behavioral Analysis</span>\r\nCyberattacks are becoming more complex and harder to find. Often correlation rules can&rsquo;t find the attacks because they lack context or miss incidents they&rsquo;ve never seen &mdash; generating false negatives. Correlation rules also require much maintenance. Advanced Analytics automatically detects the behaviors indicative of a threat. Now teams don&rsquo;t have to spend time with frequently faulty correlation rules.\r\n<span style=\"font-weight: bold;\">Prebuilt Timelines Automatically Reconstruct Security Incidents</span>\r\nAnalysts shouldn&rsquo;t spend days or weeks gathering evidence and constructing timelines of incidents by querying and pivoting through their SIEM. With Advanced Analytics, a prebuilt-incident timeline flags anomalies and displays details of the incident for the full scope of the event and its context. Now analysts can stop spending time combing through raw logs to investigate incidents. What took weeks to investigate in a legacy SIEM can now be done in seconds.\r\n<span style=\"font-weight: bold;\">Dynamic Peer Grouping</span>\r\nUser behavior patterns often differ based on a myriad of attributes, including: the team they are on, what projects they are involved in, where they are located, and more. Thus, behavioral baselines shouldn&rsquo;t be static. Dynamic peer grouping uses machine learning to assign users to groups based on their behavior, then to compare their activity against that of those groups to identify anomalous, risky behavior.\r\n<span style=\"font-weight: bold;\">Lateral Movement Detection</span>\r\nLateral movement is a method attackers use to move through a network by using IP addresses, credentials, and machines in search of key assets. Tracking is difficult because the trace information only tells part of the story. Data must be analyzed from everywhere, linking the attack to the source. The Advanced Analytics patented technology tracks suspected activities even if there are changes to devices, IP addresses, or credentials.\r\n<span style=\"font-weight: bold;\">Asset Ownership Association</span>\r\nAnother time-intensive part of performing a security investigation is the manual process of determining who owns or regularly uses the devices involved in an incident. There isn&rsquo;t a convenient IT database linking devices to their owners, and mobile devices can exist outside of any tracking. Advanced Analytics is able to determine the owner of a device based on their pattern of behavior and interactions.","shortDescription":"Exabeam Advanced Analytics is the world’s most-deployed UEBA solution - Modern threat detection using behavioral modeling and machine learning.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":1,"sellingCount":18,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Exabeam Advanced Analytics","keywords":"","description":"<span style=\"font-weight: bold;\">Complex Threat Identification with Behavioral Analysis</span>\r\nCyberattacks are becoming more complex and harder to find. Often correlation rules can&rsquo;t find the attacks because they lack context or miss incidents they&rsq","og:title":"Exabeam Advanced Analytics","og:description":"<span style=\"font-weight: bold;\">Complex Threat Identification with Behavioral Analysis</span>\r\nCyberattacks are becoming more complex and harder to find. Often correlation rules can&rsquo;t find the attacks because they lack context or miss incidents they&rsq","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Exabeam.png"},"eventUrl":"","translationId":1662,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[{"id":30,"title":"UEBA - User and Entity Behavior Analytics"}],"testingArea":"","categories":[{"id":465,"title":"UEBA - User and Entity Behavior Analytics","alias":"ueba-user-and-entity-behavior-analytics","description":"Developments in UBA technology led Gartner to evolve the category to user and entity behavior analytics (UEBA). In September 2015, Gartner published the Market Guide for User and Entity Analytics by Vice President and Distinguished Analyst, Avivah Litan, that provided a thorough definition and explanation. UEBA was referred to in earlier Gartner reports but not in much depth. Expanding the definition from UBA includes devices, applications, servers, data, or anything with an IP address. It moves beyond the fraud-oriented UBA focus to a broader one encompassing &quot;malicious and abusive behavior that otherwise went unnoticed by existing security monitoring systems, such as SIEM and DLP.&quot; The addition of &quot;entity&quot; reflects that devices may play a role in a network attack and may also be valuable in uncovering attack activity. &quot;When end users have been compromised, malware can lay dormant and go undetected for months. Rather than trying to find where the outsider entered, UEBAs allow for quicker detection by using algorithms to detect insider threats.&quot;\r\nParticularly in the computer security market, there are many vendors for UEBA applications. They can be &quot;differentiated by whether they are designed to monitor on-premises or cloud-based software as a service (SaaS) applications; the methods in which they obtain the source data; the type of analytics they use (i.e., packaged analytics, user-driven or vendor-written), and the service delivery method (i.e., on-premises or a cloud-based).&quot; According to the 2015 market guide released by Gartner, &quot;the UEBA market grew substantially in 2015; UEBA vendors grew their customer base, market consolidation began, and Gartner client interest in UEBA and security analytics increased.&quot; The report further projected, &quot;Over the next three years, leading UEBA platforms will become preferred systems for security operations and investigations at some of the organizations they serve. It will be—and in some cases already is—much easier to discover some security events and analyze individual offenders in UEBA than it is in many legacy security monitoring systems.&quot;","materialsDescription":"<span style=\"font-weight: bold;\">What is UEBA?</span>\r\nHackers can break into firewalls, send you e-mails with malicious and infected attachments, or even bribe an employee to gain access into your firewalls. Old tools and systems are quickly becoming obsolete, and there are several ways to get past them.\r\nUser and entity behavior analytics (UEBA) give you more comprehensive way of making sure that your organization has top-notch IT security, while also helping you detect users and entities that might compromise your entire system.\r\nUEBA is a type of cybersecurity process that takes note of the normal conduct of users. In turn, they detect any anomalous behavior or instances when there are deviations from these “normal” patterns. For example, if a particular user regularly downloads 10 MB of files every day but suddenly downloads gigabytes of files, the system would be able to detect this anomaly and alert them immediately.\r\nUEBA uses machine learning, algorithms, and statistical analyses to know when there is a deviation from established patterns, showing which of these anomalies could result in, potentially, a real threat. UEBA can also aggregate the data you have in your reports and logs, as well as analyze the file, flow, and packet information.\r\nIn UEBA, you do not track security events or monitor devices; instead, you track all the users and entities in your system. As such, UEBA focuses on insider threats, such as employees who have gone rogue, employees who have already been compromised, and people who already have access to your system and then carry out targeted attacks and fraud attempts, as well as servers, applications, and devices that are working within your system.\r\n<span style=\"font-weight: bold;\">What are the benefits of UEBA?</span>\r\nIt is the unfortunate truth that today's cybersecurity tools are fast becoming obsolete, and more skilled hackers and cyber attackers are now able to bypass the perimeter defenses that are used by most companies. In the old days, you were secure if you had web gateways, firewalls, and intrusion prevention tools in place. This is no longer the case in today’s complex threat landscape, and it’s especially true for bigger corporations that are proven to have very porous IT perimeters that are also very difficult to manage and oversee.\r\nThe bottom line? Preventive measures are no longer enough. Your firewalls are not going to be 100% foolproof, and hackers and attackers will get into your system at one point or another. This is why detection is equally important: when hackers do successfully get into your system, you should be able to detect their presence quickly in order to minimize the damage.\r\n<span style=\"font-weight: bold;\">How Does UEBA Work?</span>\r\nThe premise of UEBA is actually very simple. You can easily steal an employee’s user name and password, but it is much harder to mimic the person’s normal behavior once inside the network.\r\nFor example, let’s say you steal Jane Doe’s password and user name. You would still not be able to act precisely like Jane Doe once in the system unless given extensive research and preparation. Therefore, when Jane Doe’s user name is logged in to the system, and her behavior is different than that of typical Jane Doe, that is when UEBA alerts start to sound.\r\nAnother relatable analogy would be if your credit card was stolen. A thief can pickpocket your wallet and go to a high-end shop and start spending thousands of dollars using your credit card. If your spending pattern on that card is different from the thief’s, the company’s fraud detection department will often recognize the abnormal spending and block suspicious purchases, issuing an alert to you or asking you to verify the authenticity of a transaction.\r\nAs such, UEBA is a very important component of IT security, allowing you to:\r\n1. Detect insider threats. It is not too far-fetched to imagine that an employee, or perhaps a group of employees, could go rogue, stealing data and information by using their own access. UEBA can help you detect data breaches, sabotage, privilege abuse and policy violations made by your own staff.\r\n2. Detect compromised accounts. Sometimes, user accounts are compromised. It could be that the user unwittingly installed malware on his or her machine, or sometimes a legitimate account is spoofed. UEBA can help you weed out spoofed and compromised users before they can do real harm.\r\n3. Detect brute-force attacks. Hackers sometimes target your cloud-based entities as well as third-party authentication systems. With UEBA, you are able to detect brute-force attempts, allowing you to block access to these entities.\r\n4. Detect changes in permissions and the creation of super users. Some attacks involve the use of super users. UEBA allows you to detect when super users are created, or if there are accounts that were granted unnecessary permissions.\r\n5. Detect breach of protected data. If you have protected data, it is not enough to just keep it secure. You should know when a user accesses this data when he or she does not have any legitimate business reason to access it.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_User_and_Entity_Behavior_Analytics.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1271,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Exabeam.png","logo":true,"scheme":false,"title":"Exabeam Security Intelligence Platform","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"exabeam-security-intelligence-platform","companyTitle":"Exabeam","companyTypes":["supplier","vendor"],"companyId":4093,"companyAlias":"exabeam","description":"The Next Generation of SIEM\r\nLegacy SIEMs cause heartburn for users in each of their functional areas, including: data collection, threat detection, and incident response. Between volume-based pricing models that gouge at security budgets, static correlation rules that consume precious analyst resources as well as create false positives, and case management that does nothing to automate or amplify incident response; legacy SIEMs leave a lot to be desired. After years of suffering at the hands of these vendors, customers are finally able to get reprieve in the form of Next-Gen SIEMs.\r\n\r\nNext-Gen SIEMs are characterized by their use of modern solutions like open-source, big data architectures, artificial intelligence, machine learning, and behavioral analysis, to solve today’s pressing security management problems. Next-Gen SIEMs provide tangible value to security teams by automating manual tasks, increasing threat detection, and amplifying productivity instead of simply consuming SOC resources like their predecessors.\r\n\r\n<span style=\"font-weight: bold; \">This platform includes five key components:</span>\r\n\r\n<span style=\"font-weight: bold; \">Exabeam Log Manager:</span> Exabeam Log Manager offers the high performance of a modern data management system without the volume-based pricing models that have typically prevented customers from taking full advantage of the data they have available. To do this, Exabeam built Log Manager on the popular open source Elasticsearch stack and combined its components with the additional functionality enterprises demand of their security solutions. Exabeam Log Manager operates at lightning-fast speeds and can be scaled far beyond the capabilities of legacy data management technologies. Since Log Manager was designed for security data management, it includes context-aware capabilities that improve ease of use for security analysts. For example, Log Manager parses raw data – logs, network, endpoint, etc. – into a security information model and formats records based on their types, highlighting the most relevant fields for easy visual scanning by human readers.&nbsp; Finally, Exabeam streamlines the Elastic user interface with several custom built components that greatly improve security analyst workflows.\r\n\r\n<span style=\"font-weight: bold; \">Exabeam Advanced Analytics:</span> Exabeam Advanced Analytics is the world’s most-deployed User and Entity Behavior Analytics (UEBA) solution.&nbsp; Advanced Analytics detects insider threats, compromised accounts, and data loss via deep learning and specialized statistical risk models.&nbsp; With the ability to accurately model the behavior of users, entities, and even security alerts from other security solutions,&nbsp; Exabeam can quickly detect complex threats, prioritize security alert investigation, and slash the response time of incident investigations. By automatically recreating entire attack chains, and piecing together both normal and anomalous behavior of users and entities, Exabeam dramatically reduces the time and effort security analysts must spend on investigations.&nbsp; Based on a patented session data model, Exabeam creates, in seconds, automatic incident timelines that show all activity – good and bad – across multiple IP addresses, devices, and credentials. Exabeam Advanced Analytics amplifies the abilities of SOC and IR staff by automating the manual drudge of investigations, thus freeing up resources for more proactive security initiatives like threat hunting.\r\n\r\n<span style=\"font-weight: bold; \">Exabeam Incident Responder:</span> When Exabeam detects an insider threat or other incident, the job isn’t completed. Organizations must still respond efficiently and effectively to the newly discovered threat. Exabeam Incident Responder automates a firm’s response procedures through the use of incident workflows and playbooks. Incident Responder includes prebuilt playbooks for many of the most common incident types that response teams face, such as malware alerts, phishing incidents, data loss alerts, departed insider issues, etc. Exabeam playbooks can also be modified, allowing customers to create and share their own playbooks.The benefits of automated, guided response are clear: reduced response time, fewer human induced errors, and improved productivity for incident response teams. Incident Responder can perform automatic actions (e.g. resetting a user password or containing an infected endpoint machine) or guide manual actions by IR staff. Exabeam IR workflows tie together the many specialized security technologies that already exist within most organizations.\r\n\r\nExabeam Cloud Connectors: Today’s IT environments are complex and distributed; often including a variety of cloud based services which serve critical functions like file storage, email, CRM and more. Exabeam Cloud Connectors offer direct log collection capabilities for a host of popular cloud based services including Salesforce.com, Box, Office365, and others. This set of pre-built connectors augments the natural log collection capabilities of Exabeam Log Manager to easily report and analyze users’ cloud activity and behavior alongside activity on internal systems.\r\n\r\nExabeam Threat Hunter: Where Exabeam Advanced Analytics uses machine learning techniques to notify an analyst about emerging threats, Exabeam Threat Hunter enables security analysts to search and pivot across multiple dimensions of user activity to find sessions that contain specific unusual behaviors or find users that match certain criteria. For example, an analyst might ask to see “all sessions where a user logged into the VPN from a foreign country for the first time, then accessed a new server for the first time, after which FireEye created a malware alert.” This level of analysis across disjoint activities and systems would be difficult if not impossible with the traditional query language approach of most SIEMs.Designed around a simple point-and-click interface, Threat Hunter enables even junior analysts to ask new and complex questions of their organization’s behavioral data without needing to learn a proprietary query language.&nbsp; Analysts can easily pivot through and drill down into user sessions to follow complex, multi-stage attacks. With Threat Hunter, machine learning provides intelligent answers, in addition to alerts.\r\n","shortDescription":"The Exabeam Security Intelligence Platform provides organizations of all sizes with comprehensive, end-to-end detection, analytics, and response capabilities from a single security management and operations platform. Exabeam provides elastic scalability through the use of a modern big data and machine learning architecture that ingests and analyzes data at any scale; all at a predictable cost. This means organizations no longer need to choose between adhering to security budgets and adding additional data sources that would minimize their security blind spots.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":18,"sellingCount":15,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Exabeam Security Intelligence Platform","keywords":"Exabeam, security, data, that, incident, response, Manager, their","description":"The Next Generation of SIEM\r\nLegacy SIEMs cause heartburn for users in each of their functional areas, including: data collection, threat detection, and incident response. Between volume-based pricing models that gouge at security budgets, static correlation r","og:title":"Exabeam Security Intelligence Platform","og:description":"The Next Generation of SIEM\r\nLegacy SIEMs cause heartburn for users in each of their functional areas, including: data collection, threat detection, and incident response. Between volume-based pricing models that gouge at security budgets, static correlation r","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Exabeam.png"},"eventUrl":"","translationId":1272,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":45,"title":"SIEM - Security Information and Event Management","alias":"siem-security-information-and-event-management","description":"<span style=\"font-weight: bold; \">Security information and event management (SIEM)</span> is an approach to security management that combines SIM (security information management) and SEM (security event management) functions into one security management system. \r\n The underlying principles of every SIEM system is to aggregate relevant data from multiple sources, identify deviations from the norm and take appropriate action. At the most basic level, a SIEM system can be rules-based or employ a statistical correlation engine to establish relationships between event log entries. Advanced SIEM products have evolved to include user and entity behavior analytics (UEBA) and security orchestration and automated response (SOAR). \r\nThe acronyms SEM, SIM and SIEM have sometimes been used interchangeably, but generally refer to the different primary focus of products:\r\n<ul><li><span style=\"font-weight: bold;\">Log management:</span> Focus on simple collection and storage of log messages and audit trails.</li><li><span style=\"font-weight: bold;\">Security information management (SIM):</span> Long-term storage as well as analysis and reporting of log data.</li><li><span style=\"font-weight: bold;\">Security event manager (SEM):</span> Real-time monitoring, correlation of events, notifications and console views.</li><li><span style=\"font-weight: bold;\">Security information event management (SIEM):</span> Combines SIM and SEM and provides real-time analysis of security alerts generated by network hardware and applications.</li><li><span style=\"font-weight: bold;\">Managed Security Service (MSS) or Managed Security Service Provider (MSSP):</span> The most common managed services appear to evolve around connectivity and bandwidth, network monitoring, security, virtualization, and disaster recovery.</li><li><span style=\"font-weight: bold;\">Security as a service (SECaaS):</span> These security services often include authentication, anti-virus, anti-malware/spyware, intrusion detection, Penetration testing and security event management, among others.</li></ul>\r\nToday, most of SIEM technology works by deploying multiple collection agents in a hierarchical manner to gather security-related events from end-user devices, servers, network equipment, as well as specialized security equipment like firewalls, antivirus or intrusion prevention systems. The collectors forward events to a centralized management console where security analysts sift through the noise, connecting the dots and prioritizing security incidents.\r\nSome of the most important features to review when evaluating Security Information and Event Management software are:\r\n<ol><li><span style=\"font-weight: bold; \">Integration with other controls:</span> Can the system give commands to other enterprise security controls to prevent or stop attacks in progress?</li><li><span style=\"font-weight: bold; \">Artificial intelligence:</span> Can the system improve its own accuracy by through machine and deep learning?</li><li><span style=\"font-weight: bold; \">Threat intelligence feeds:</span>&nbsp; Can the system support threat intelligence feeds of the organization's choosing or is it mandated to use a particular feed?</li><li><span style=\"font-weight: bold; \">Robust compliance reporting:</span>&nbsp; Does the system include built-in reports for common compliance needs and the provide the organization with the ability to customize or create new compliance reports?</li><li><span style=\"font-weight: bold; \">Forensics capabilities:</span>&nbsp; Can the system capture additional information about security events by recording the headers and contents of packets of interest? </li></ol>\r\n\r\n\r\n","materialsDescription":"<h1 class=\"align-center\"> Why is SIEM Important?</h1>\r\nSIEM has become a core security component of modern organizations. The main reason is that every user or tracker leaves behind a virtual trail in a network’s log data. SIEM software is designed to use this log data in order to generate insight into past attacks and events. A SIEM solution not only identifies that an attack has happened, but allows you to see how and why it happened as well.\r\nAs organizations update and upscale to increasingly complex IT infrastructures, SIEM has become even more important in recent years. Contrary to popular belief, firewalls and antivirus packages are not enough to protect a network in its entirety. Zero-day attacks can still penetrate a system’s defenses even with these security measures in place.\r\nSIEM addresses this problem by detecting attack activity and assessing it against past behavior on the network. A security event monitoring has the ability to distinguish between legitimate use and a malicious attack. This helps to increase a system’s incident protection and avoid damage to systems and virtual property.\r\nThe use of SIEM also helps companies to comply with a variety of industry cyber management regulations. Log management is the industry standard method of auditing activity on an IT network. SIEM management provides the best way to meet this regulatory requirement and provide transparency over logs in order to generate clear insights and improvements.\r\n<h1 class=\"align-center\">Evaluation criteria for security information and event management software:</h1>\r\n<ul><li>Threat identification: Raw log form vs. descriptive.</li><li>Threat tracking: Ability to track through the various events, from source to destination.</li><li>Policy enforcement: Ability to enforce defined polices.</li><li>Application analysis: Ability to analyze application at Layer 7 if necessary.</li><li>Business relevance of events: Ability to assign business risk to events and have weighted threat levels.</li><li>Measuring changes and improvements: Ability to track configuration changes to devices.</li><li>Asset-based information: Ability to gather information on devices on the network.</li><li>Anomalous behavior (server): Ability to trend and see changes in how it communicates to others.</li><li>Anomalous behavior (network): Ability to trend and see how communications pass throughout the network.</li><li>Anomalous behavior (application): Ability to trend and see changes in how it communicates to others.</li><li>User monitoring: User activity, logging in, applications usage, etc.</li></ul>\r\n\r\n","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_SIEM.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"suppliedProducts":[{"id":1660,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Exabeam.png","logo":true,"scheme":false,"title":"Exabeam Advanced Analytics","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"exabeam-advanced-analytics","companyTitle":"Exabeam","companyTypes":["supplier","vendor"],"companyId":4093,"companyAlias":"exabeam","description":"<span style=\"font-weight: bold;\">Complex Threat Identification with Behavioral Analysis</span>\r\nCyberattacks are becoming more complex and harder to find. Often correlation rules can&rsquo;t find the attacks because they lack context or miss incidents they&rsquo;ve never seen &mdash; generating false negatives. Correlation rules also require much maintenance. Advanced Analytics automatically detects the behaviors indicative of a threat. Now teams don&rsquo;t have to spend time with frequently faulty correlation rules.\r\n<span style=\"font-weight: bold;\">Prebuilt Timelines Automatically Reconstruct Security Incidents</span>\r\nAnalysts shouldn&rsquo;t spend days or weeks gathering evidence and constructing timelines of incidents by querying and pivoting through their SIEM. With Advanced Analytics, a prebuilt-incident timeline flags anomalies and displays details of the incident for the full scope of the event and its context. Now analysts can stop spending time combing through raw logs to investigate incidents. What took weeks to investigate in a legacy SIEM can now be done in seconds.\r\n<span style=\"font-weight: bold;\">Dynamic Peer Grouping</span>\r\nUser behavior patterns often differ based on a myriad of attributes, including: the team they are on, what projects they are involved in, where they are located, and more. Thus, behavioral baselines shouldn&rsquo;t be static. Dynamic peer grouping uses machine learning to assign users to groups based on their behavior, then to compare their activity against that of those groups to identify anomalous, risky behavior.\r\n<span style=\"font-weight: bold;\">Lateral Movement Detection</span>\r\nLateral movement is a method attackers use to move through a network by using IP addresses, credentials, and machines in search of key assets. Tracking is difficult because the trace information only tells part of the story. Data must be analyzed from everywhere, linking the attack to the source. The Advanced Analytics patented technology tracks suspected activities even if there are changes to devices, IP addresses, or credentials.\r\n<span style=\"font-weight: bold;\">Asset Ownership Association</span>\r\nAnother time-intensive part of performing a security investigation is the manual process of determining who owns or regularly uses the devices involved in an incident. There isn&rsquo;t a convenient IT database linking devices to their owners, and mobile devices can exist outside of any tracking. Advanced Analytics is able to determine the owner of a device based on their pattern of behavior and interactions.","shortDescription":"Exabeam Advanced Analytics is the world’s most-deployed UEBA solution - Modern threat detection using behavioral modeling and machine learning.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":1,"sellingCount":18,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Exabeam Advanced Analytics","keywords":"","description":"<span style=\"font-weight: bold;\">Complex Threat Identification with Behavioral Analysis</span>\r\nCyberattacks are becoming more complex and harder to find. Often correlation rules can&rsquo;t find the attacks because they lack context or miss incidents they&rsq","og:title":"Exabeam Advanced Analytics","og:description":"<span style=\"font-weight: bold;\">Complex Threat Identification with Behavioral Analysis</span>\r\nCyberattacks are becoming more complex and harder to find. Often correlation rules can&rsquo;t find the attacks because they lack context or miss incidents they&rsq","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Exabeam.png"},"eventUrl":"","translationId":1662,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[{"id":30,"title":"UEBA - User and Entity Behavior Analytics"}],"testingArea":"","categories":[{"id":465,"title":"UEBA - User and Entity Behavior Analytics","alias":"ueba-user-and-entity-behavior-analytics","description":"Developments in UBA technology led Gartner to evolve the category to user and entity behavior analytics (UEBA). In September 2015, Gartner published the Market Guide for User and Entity Analytics by Vice President and Distinguished Analyst, Avivah Litan, that provided a thorough definition and explanation. UEBA was referred to in earlier Gartner reports but not in much depth. Expanding the definition from UBA includes devices, applications, servers, data, or anything with an IP address. It moves beyond the fraud-oriented UBA focus to a broader one encompassing &quot;malicious and abusive behavior that otherwise went unnoticed by existing security monitoring systems, such as SIEM and DLP.&quot; The addition of &quot;entity&quot; reflects that devices may play a role in a network attack and may also be valuable in uncovering attack activity. &quot;When end users have been compromised, malware can lay dormant and go undetected for months. Rather than trying to find where the outsider entered, UEBAs allow for quicker detection by using algorithms to detect insider threats.&quot;\r\nParticularly in the computer security market, there are many vendors for UEBA applications. They can be &quot;differentiated by whether they are designed to monitor on-premises or cloud-based software as a service (SaaS) applications; the methods in which they obtain the source data; the type of analytics they use (i.e., packaged analytics, user-driven or vendor-written), and the service delivery method (i.e., on-premises or a cloud-based).&quot; According to the 2015 market guide released by Gartner, &quot;the UEBA market grew substantially in 2015; UEBA vendors grew their customer base, market consolidation began, and Gartner client interest in UEBA and security analytics increased.&quot; The report further projected, &quot;Over the next three years, leading UEBA platforms will become preferred systems for security operations and investigations at some of the organizations they serve. It will be—and in some cases already is—much easier to discover some security events and analyze individual offenders in UEBA than it is in many legacy security monitoring systems.&quot;","materialsDescription":"<span style=\"font-weight: bold;\">What is UEBA?</span>\r\nHackers can break into firewalls, send you e-mails with malicious and infected attachments, or even bribe an employee to gain access into your firewalls. Old tools and systems are quickly becoming obsolete, and there are several ways to get past them.\r\nUser and entity behavior analytics (UEBA) give you more comprehensive way of making sure that your organization has top-notch IT security, while also helping you detect users and entities that might compromise your entire system.\r\nUEBA is a type of cybersecurity process that takes note of the normal conduct of users. In turn, they detect any anomalous behavior or instances when there are deviations from these “normal” patterns. For example, if a particular user regularly downloads 10 MB of files every day but suddenly downloads gigabytes of files, the system would be able to detect this anomaly and alert them immediately.\r\nUEBA uses machine learning, algorithms, and statistical analyses to know when there is a deviation from established patterns, showing which of these anomalies could result in, potentially, a real threat. UEBA can also aggregate the data you have in your reports and logs, as well as analyze the file, flow, and packet information.\r\nIn UEBA, you do not track security events or monitor devices; instead, you track all the users and entities in your system. As such, UEBA focuses on insider threats, such as employees who have gone rogue, employees who have already been compromised, and people who already have access to your system and then carry out targeted attacks and fraud attempts, as well as servers, applications, and devices that are working within your system.\r\n<span style=\"font-weight: bold;\">What are the benefits of UEBA?</span>\r\nIt is the unfortunate truth that today's cybersecurity tools are fast becoming obsolete, and more skilled hackers and cyber attackers are now able to bypass the perimeter defenses that are used by most companies. In the old days, you were secure if you had web gateways, firewalls, and intrusion prevention tools in place. This is no longer the case in today’s complex threat landscape, and it’s especially true for bigger corporations that are proven to have very porous IT perimeters that are also very difficult to manage and oversee.\r\nThe bottom line? Preventive measures are no longer enough. Your firewalls are not going to be 100% foolproof, and hackers and attackers will get into your system at one point or another. This is why detection is equally important: when hackers do successfully get into your system, you should be able to detect their presence quickly in order to minimize the damage.\r\n<span style=\"font-weight: bold;\">How Does UEBA Work?</span>\r\nThe premise of UEBA is actually very simple. You can easily steal an employee’s user name and password, but it is much harder to mimic the person’s normal behavior once inside the network.\r\nFor example, let’s say you steal Jane Doe’s password and user name. You would still not be able to act precisely like Jane Doe once in the system unless given extensive research and preparation. Therefore, when Jane Doe’s user name is logged in to the system, and her behavior is different than that of typical Jane Doe, that is when UEBA alerts start to sound.\r\nAnother relatable analogy would be if your credit card was stolen. A thief can pickpocket your wallet and go to a high-end shop and start spending thousands of dollars using your credit card. If your spending pattern on that card is different from the thief’s, the company’s fraud detection department will often recognize the abnormal spending and block suspicious purchases, issuing an alert to you or asking you to verify the authenticity of a transaction.\r\nAs such, UEBA is a very important component of IT security, allowing you to:\r\n1. Detect insider threats. It is not too far-fetched to imagine that an employee, or perhaps a group of employees, could go rogue, stealing data and information by using their own access. UEBA can help you detect data breaches, sabotage, privilege abuse and policy violations made by your own staff.\r\n2. Detect compromised accounts. Sometimes, user accounts are compromised. It could be that the user unwittingly installed malware on his or her machine, or sometimes a legitimate account is spoofed. UEBA can help you weed out spoofed and compromised users before they can do real harm.\r\n3. Detect brute-force attacks. Hackers sometimes target your cloud-based entities as well as third-party authentication systems. With UEBA, you are able to detect brute-force attempts, allowing you to block access to these entities.\r\n4. Detect changes in permissions and the creation of super users. Some attacks involve the use of super users. UEBA allows you to detect when super users are created, or if there are accounts that were granted unnecessary permissions.\r\n5. Detect breach of protected data. If you have protected data, it is not enough to just keep it secure. You should know when a user accesses this data when he or she does not have any legitimate business reason to access it.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_User_and_Entity_Behavior_Analytics.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1271,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Exabeam.png","logo":true,"scheme":false,"title":"Exabeam Security Intelligence Platform","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"exabeam-security-intelligence-platform","companyTitle":"Exabeam","companyTypes":["supplier","vendor"],"companyId":4093,"companyAlias":"exabeam","description":"The Next Generation of SIEM\r\nLegacy SIEMs cause heartburn for users in each of their functional areas, including: data collection, threat detection, and incident response. Between volume-based pricing models that gouge at security budgets, static correlation rules that consume precious analyst resources as well as create false positives, and case management that does nothing to automate or amplify incident response; legacy SIEMs leave a lot to be desired. After years of suffering at the hands of these vendors, customers are finally able to get reprieve in the form of Next-Gen SIEMs.\r\n\r\nNext-Gen SIEMs are characterized by their use of modern solutions like open-source, big data architectures, artificial intelligence, machine learning, and behavioral analysis, to solve today’s pressing security management problems. Next-Gen SIEMs provide tangible value to security teams by automating manual tasks, increasing threat detection, and amplifying productivity instead of simply consuming SOC resources like their predecessors.\r\n\r\n<span style=\"font-weight: bold; \">This platform includes five key components:</span>\r\n\r\n<span style=\"font-weight: bold; \">Exabeam Log Manager:</span> Exabeam Log Manager offers the high performance of a modern data management system without the volume-based pricing models that have typically prevented customers from taking full advantage of the data they have available. To do this, Exabeam built Log Manager on the popular open source Elasticsearch stack and combined its components with the additional functionality enterprises demand of their security solutions. Exabeam Log Manager operates at lightning-fast speeds and can be scaled far beyond the capabilities of legacy data management technologies. Since Log Manager was designed for security data management, it includes context-aware capabilities that improve ease of use for security analysts. For example, Log Manager parses raw data – logs, network, endpoint, etc. – into a security information model and formats records based on their types, highlighting the most relevant fields for easy visual scanning by human readers.&nbsp; Finally, Exabeam streamlines the Elastic user interface with several custom built components that greatly improve security analyst workflows.\r\n\r\n<span style=\"font-weight: bold; \">Exabeam Advanced Analytics:</span> Exabeam Advanced Analytics is the world’s most-deployed User and Entity Behavior Analytics (UEBA) solution.&nbsp; Advanced Analytics detects insider threats, compromised accounts, and data loss via deep learning and specialized statistical risk models.&nbsp; With the ability to accurately model the behavior of users, entities, and even security alerts from other security solutions,&nbsp; Exabeam can quickly detect complex threats, prioritize security alert investigation, and slash the response time of incident investigations. By automatically recreating entire attack chains, and piecing together both normal and anomalous behavior of users and entities, Exabeam dramatically reduces the time and effort security analysts must spend on investigations.&nbsp; Based on a patented session data model, Exabeam creates, in seconds, automatic incident timelines that show all activity – good and bad – across multiple IP addresses, devices, and credentials. Exabeam Advanced Analytics amplifies the abilities of SOC and IR staff by automating the manual drudge of investigations, thus freeing up resources for more proactive security initiatives like threat hunting.\r\n\r\n<span style=\"font-weight: bold; \">Exabeam Incident Responder:</span> When Exabeam detects an insider threat or other incident, the job isn’t completed. Organizations must still respond efficiently and effectively to the newly discovered threat. Exabeam Incident Responder automates a firm’s response procedures through the use of incident workflows and playbooks. Incident Responder includes prebuilt playbooks for many of the most common incident types that response teams face, such as malware alerts, phishing incidents, data loss alerts, departed insider issues, etc. Exabeam playbooks can also be modified, allowing customers to create and share their own playbooks.The benefits of automated, guided response are clear: reduced response time, fewer human induced errors, and improved productivity for incident response teams. Incident Responder can perform automatic actions (e.g. resetting a user password or containing an infected endpoint machine) or guide manual actions by IR staff. Exabeam IR workflows tie together the many specialized security technologies that already exist within most organizations.\r\n\r\nExabeam Cloud Connectors: Today’s IT environments are complex and distributed; often including a variety of cloud based services which serve critical functions like file storage, email, CRM and more. Exabeam Cloud Connectors offer direct log collection capabilities for a host of popular cloud based services including Salesforce.com, Box, Office365, and others. This set of pre-built connectors augments the natural log collection capabilities of Exabeam Log Manager to easily report and analyze users’ cloud activity and behavior alongside activity on internal systems.\r\n\r\nExabeam Threat Hunter: Where Exabeam Advanced Analytics uses machine learning techniques to notify an analyst about emerging threats, Exabeam Threat Hunter enables security analysts to search and pivot across multiple dimensions of user activity to find sessions that contain specific unusual behaviors or find users that match certain criteria. For example, an analyst might ask to see “all sessions where a user logged into the VPN from a foreign country for the first time, then accessed a new server for the first time, after which FireEye created a malware alert.” This level of analysis across disjoint activities and systems would be difficult if not impossible with the traditional query language approach of most SIEMs.Designed around a simple point-and-click interface, Threat Hunter enables even junior analysts to ask new and complex questions of their organization’s behavioral data without needing to learn a proprietary query language.&nbsp; Analysts can easily pivot through and drill down into user sessions to follow complex, multi-stage attacks. With Threat Hunter, machine learning provides intelligent answers, in addition to alerts.\r\n","shortDescription":"The Exabeam Security Intelligence Platform provides organizations of all sizes with comprehensive, end-to-end detection, analytics, and response capabilities from a single security management and operations platform. Exabeam provides elastic scalability through the use of a modern big data and machine learning architecture that ingests and analyzes data at any scale; all at a predictable cost. This means organizations no longer need to choose between adhering to security budgets and adding additional data sources that would minimize their security blind spots.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":18,"sellingCount":15,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Exabeam Security Intelligence Platform","keywords":"Exabeam, security, data, that, incident, response, Manager, their","description":"The Next Generation of SIEM\r\nLegacy SIEMs cause heartburn for users in each of their functional areas, including: data collection, threat detection, and incident response. Between volume-based pricing models that gouge at security budgets, static correlation r","og:title":"Exabeam Security Intelligence Platform","og:description":"The Next Generation of SIEM\r\nLegacy SIEMs cause heartburn for users in each of their functional areas, including: data collection, threat detection, and incident response. Between volume-based pricing models that gouge at security budgets, static correlation r","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Exabeam.png"},"eventUrl":"","translationId":1272,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":45,"title":"SIEM - Security Information and Event Management","alias":"siem-security-information-and-event-management","description":"<span style=\"font-weight: bold; \">Security information and event management (SIEM)</span> is an approach to security management that combines SIM (security information management) and SEM (security event management) functions into one security management system. \r\n The underlying principles of every SIEM system is to aggregate relevant data from multiple sources, identify deviations from the norm and take appropriate action. At the most basic level, a SIEM system can be rules-based or employ a statistical correlation engine to establish relationships between event log entries. Advanced SIEM products have evolved to include user and entity behavior analytics (UEBA) and security orchestration and automated response (SOAR). \r\nThe acronyms SEM, SIM and SIEM have sometimes been used interchangeably, but generally refer to the different primary focus of products:\r\n<ul><li><span style=\"font-weight: bold;\">Log management:</span> Focus on simple collection and storage of log messages and audit trails.</li><li><span style=\"font-weight: bold;\">Security information management (SIM):</span> Long-term storage as well as analysis and reporting of log data.</li><li><span style=\"font-weight: bold;\">Security event manager (SEM):</span> Real-time monitoring, correlation of events, notifications and console views.</li><li><span style=\"font-weight: bold;\">Security information event management (SIEM):</span> Combines SIM and SEM and provides real-time analysis of security alerts generated by network hardware and applications.</li><li><span style=\"font-weight: bold;\">Managed Security Service (MSS) or Managed Security Service Provider (MSSP):</span> The most common managed services appear to evolve around connectivity and bandwidth, network monitoring, security, virtualization, and disaster recovery.</li><li><span style=\"font-weight: bold;\">Security as a service (SECaaS):</span> These security services often include authentication, anti-virus, anti-malware/spyware, intrusion detection, Penetration testing and security event management, among others.</li></ul>\r\nToday, most of SIEM technology works by deploying multiple collection agents in a hierarchical manner to gather security-related events from end-user devices, servers, network equipment, as well as specialized security equipment like firewalls, antivirus or intrusion prevention systems. The collectors forward events to a centralized management console where security analysts sift through the noise, connecting the dots and prioritizing security incidents.\r\nSome of the most important features to review when evaluating Security Information and Event Management software are:\r\n<ol><li><span style=\"font-weight: bold; \">Integration with other controls:</span> Can the system give commands to other enterprise security controls to prevent or stop attacks in progress?</li><li><span style=\"font-weight: bold; \">Artificial intelligence:</span> Can the system improve its own accuracy by through machine and deep learning?</li><li><span style=\"font-weight: bold; \">Threat intelligence feeds:</span>&nbsp; Can the system support threat intelligence feeds of the organization's choosing or is it mandated to use a particular feed?</li><li><span style=\"font-weight: bold; \">Robust compliance reporting:</span>&nbsp; Does the system include built-in reports for common compliance needs and the provide the organization with the ability to customize or create new compliance reports?</li><li><span style=\"font-weight: bold; \">Forensics capabilities:</span>&nbsp; Can the system capture additional information about security events by recording the headers and contents of packets of interest? </li></ol>\r\n\r\n\r\n","materialsDescription":"<h1 class=\"align-center\"> Why is SIEM Important?</h1>\r\nSIEM has become a core security component of modern organizations. The main reason is that every user or tracker leaves behind a virtual trail in a network’s log data. SIEM software is designed to use this log data in order to generate insight into past attacks and events. A SIEM solution not only identifies that an attack has happened, but allows you to see how and why it happened as well.\r\nAs organizations update and upscale to increasingly complex IT infrastructures, SIEM has become even more important in recent years. Contrary to popular belief, firewalls and antivirus packages are not enough to protect a network in its entirety. Zero-day attacks can still penetrate a system’s defenses even with these security measures in place.\r\nSIEM addresses this problem by detecting attack activity and assessing it against past behavior on the network. A security event monitoring has the ability to distinguish between legitimate use and a malicious attack. This helps to increase a system’s incident protection and avoid damage to systems and virtual property.\r\nThe use of SIEM also helps companies to comply with a variety of industry cyber management regulations. Log management is the industry standard method of auditing activity on an IT network. SIEM management provides the best way to meet this regulatory requirement and provide transparency over logs in order to generate clear insights and improvements.\r\n<h1 class=\"align-center\">Evaluation criteria for security information and event management software:</h1>\r\n<ul><li>Threat identification: Raw log form vs. descriptive.</li><li>Threat tracking: Ability to track through the various events, from source to destination.</li><li>Policy enforcement: Ability to enforce defined polices.</li><li>Application analysis: Ability to analyze application at Layer 7 if necessary.</li><li>Business relevance of events: Ability to assign business risk to events and have weighted threat levels.</li><li>Measuring changes and improvements: Ability to track configuration changes to devices.</li><li>Asset-based information: Ability to gather information on devices on the network.</li><li>Anomalous behavior (server): Ability to trend and see changes in how it communicates to others.</li><li>Anomalous behavior (network): Ability to trend and see how communications pass throughout the network.</li><li>Anomalous behavior (application): Ability to trend and see changes in how it communicates to others.</li><li>User monitoring: User activity, logging in, applications usage, etc.</li></ul>\r\n\r\n","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_SIEM.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"partnershipProgramme":null}},"aliases":{},"links":{},"meta":{},"loading":false,"error":null},"implementations":{"implementationsByAlias":{},"aliases":{},"links":{},"meta":{},"loading":false,"error":null},"agreements":{"agreementById":{},"ids":{},"links":{},"meta":{},"loading":false,"error":null},"comparison":{"loading":false,"error":false,"templatesById":{},"comparisonByTemplateId":{},"products":[],"selectedTemplateId":null},"presentation":{"type":null,"company":{},"products":[],"partners":[],"formData":{},"dataLoading":false,"dataError":false,"loading":false,"error":false},"catalogsGlobal":{"subMenuItemTitle":""}}