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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":[]},"exabeam-security-intelligence-platform":{"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":[]}},"aliases":{"1":["exabeam-advanced-analytics","exabeam-security-intelligence-platform"]},"links":{"first":"http://apis.roi4cio.com/api/products?page=1","last":"http://apis.roi4cio.com/api/products?page=1","prev":null,"next":null},"meta":{"current_page":1,"from":1,"last_page":1,"path":"http://apis.roi4cio.com/api/products","per_page":20,"to":2,"total":2},"loading":false,"error":null,"useProductLoading":false,"sellProductLoading":false,"templatesById":{},"comparisonByTemplateId":{}},"filters":{"filterCriterias":{"loading":false,"error":null,"data":{"price":{"min":0,"max":6000},"users":{"loading":false,"error":null,"ids":[],"values":{}},"suppliers":{"loading":false,"error":null,"ids":[],"values":{}},"vendors":{"loading":false,"error":null,"ids":[4093],"values":{"4093":{"id":4093,"title":"Exabeam"}}},"roles":{"id":200,"title":"Roles","values":{"1":{"id":1,"title":"User","translationKey":"user"},"2":{"id":2,"title":"Supplier","translationKey":"supplier"},"3":{"id":3,"title":"Vendor","translationKey":"vendor"}}},"categories":{"flat":[],"tree":[]},"countries":{"loading":false,"error":null,"ids":[],"values":{}}}},"showAIFilter":false},"companies":{"companiesByAlias":{},"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":{"30":{"id":30,"title":"UEBA - User and Entity Behavior Analytics"}},"comparisonByTemplateId":{},"products":[],"selectedTemplateId":null},"presentation":{"type":null,"company":{},"products":[],"partners":[],"formData":{},"dataLoading":false,"dataError":false,"loading":false,"error":false},"catalogsGlobal":{"subMenuItemTitle":""}}