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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> 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> 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> 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":[]},"splunk-user-behavior-analytics":{"id":1665,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Splunk_Enterprise.png","logo":true,"scheme":false,"title":"Splunk User Behavior Analytics","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":3,"alias":"splunk-user-behavior-analytics","companyTitle":"Splunk","companyTypes":["vendor"],"companyId":2815,"companyAlias":"splunk","description":"Detect unknown threats and anomalous behavior using machine learning\r\n<ul>\r\n<li>Advanced Threat Detection. Discover abnormalities and unknown threats that traditional security tools miss</li>\r\n<li>Higher Productivity. Automate stitching of hundreds of anomalies into a single threat to simplify a security analyst’s life</li>\r\n<li>Accelerate Threat Hunting. Use deep investigative capabilities and powerful behavior baselines on any entity, anomaly or threat</li>\r\n</ul>\r\n<span style=\"font-weight: bold;\">Automatically find unknown threats using machine learning</span>\r\n<ul>\r\n<li>Enhance Visibility and Detection. Automate threat detection using machine learning so you can spend more time hunting with higher fidelity behavior-based alerts for quick review and resolution.</li>\r\n<li>Accelerate Threat Hunting. Rapidly identify anomalous entities without human analysis. Rich set of anomaly types (65+) and threat classifications (25+) across users, accounts, devices and applications.</li>\r\n<li>Augment SOC Resources. Automatically stitch hundreds of anomalies observed across multiple-entities—users, accounts, devices and applications - to a single threat for faster action.</li>\r\n<li>Better Together: Splunk ES and Splunk UBA. Organizations gain maximum value to detect and resolve threats and anomalies via the power of human and machine-driven solutions by combing Splunk® Enterprise Security and Splunk UBA.</li>\r\n</ul>\r\n","shortDescription":"Splunk User Behavior Analytics - Securing against unkown threats through user and entity behavior analytics","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":8,"sellingCount":8,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Splunk User Behavior Analytics","keywords":"","description":"Detect unknown threats and anomalous behavior using machine learning\r\n<ul>\r\n<li>Advanced Threat Detection. 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It moves beyond the fraud-oriented UBA focus to a broader one encompassing "malicious and abusive behavior that otherwise went unnoticed by existing security monitoring systems, such as SIEM and DLP." The addition of "entity" reflects that devices may play a role in a network attack and may also be valuable in uncovering attack activity. "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."\r\nParticularly in the computer security market, there are many vendors for UEBA applications. They can be "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)." According to the 2015 market guide released by Gartner, "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." The report further projected, "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."","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. 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