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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","alias":"siem-security-information-and-event-management"},"204":{"id":204,"title":"Managed Detection and Response","description":" MDR, which stands for Managed Detection & 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 "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. 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"}},"branches":"Information Technology","companySizes":"101 to 500 Employees","companyUrl":"www.securonix.com","countryCodes":[],"certifications":[],"isSeller":true,"isSupplier":false,"isVendor":true,"presenterCodeLng":"","seo":{"title":"Securonix","keywords":"Securonix, threats, security, detection, insider, cyber, analytics, globally","description":"Securonix is the market leader in user and entity behavior analytics offering risk mitigation, incident response and rapid detection of sophisticated insider threats and cyber attacks. Securonix helps its clients across the globe address their cyber security n","og:title":"Securonix","og:description":"Securonix is the market leader in user and entity behavior analytics offering risk mitigation, incident response and rapid detection of sophisticated insider threats and cyber attacks. Securonix helps its clients across the globe address their cyber security n","og:image":"https://old.roi4cio.com/uploads/roi/company/securonix.png"},"eventUrl":"","vendorPartners":[],"supplierPartners":[],"vendoredProducts":[{"id":323,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Securonix_Enterprise.jpg","logo":true,"scheme":false,"title":"Securonix Enterprise","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"securonix-enterprise","companyTitle":"Securonix","companyTypes":["vendor"],"companyId":2733,"companyAlias":"securonix","description":" Using patent pending signature-less anomaly detection techniques that track user, account, and system behavior, Securonix Enterprise automatically and accurately detects the most advanced and sophisticated insider threats and cyber attacks.\r\nDetect insider threats and cyber attacks that go unnoticed by signature-based technologies\r\nFocus on protecting the data that is the most valuable to the organization\r\nReduce the number of alerts and incidents that warrant investigations\r\n\r\n<span style=\"font-weight: bold;\">Entity Profiling</span>\r\nSecuronix aggregates everything of importance to a user, account, application, device, to create a unified view for every entity. Securonix automatically learns each entity’s normal behavior patterns and track its risk posture over time.\r\n<span style=\"font-weight: bold;\">Threat detection</span>\r\nSecuronix uses patent pending signature-less anomaly detection algorithms paired with known threat indicators and third party intelligence to continuously monitor data to identify high risk, abnormal, and fraudulent activities from within or outside the organization.\r\n<span style=\"font-weight: bold;\">Investigation</span>\r\nSecuronix provides everything that an investigator needs on one screen to investigate and track an incident, and take actions. Investigate any identified threat, security event, user, account, or system using a drag and drop visualization palette to explore linkages in data.\r\n\r\n<span style=\"font-weight: bold; font-style: italic;\">Product Highlights</span>\r\n\r\n<span style=\"font-weight: bold;\">High-Risk Entity Dashboard</span>\r\nSecuronix’s High-Risk Entity Dashboard provides a unified and prioritized view of all the high-risk insider and cyber threats across all users, accounts, hosts, endpoints in the enterprise.\r\n<span style=\"font-weight: bold;\">Multi-Entity Investigation Workbench</span>\r\nSecuronix’s Investigation Workbench is a powerful tool for the analyst to visually investigate the most sophisticated threats and attacks using simple drag-and-drops, and identify similarities and anomalies between all entities in the organization.\r\n<span style=\"font-weight: bold;\">Advanced Correlation of 3rd Party Intelligence</span>\r\nSecuronix combines event analytics with over 15 3rd party intelligence providers to correlate events in the network with known bad threat actors and suspicious network events such as remote access to sensitive data from abnormal geographical locations.\r\n<span style=\"font-weight: bold;\">Data Encryption and Masking</span>\r\nSecuronix’s data encryption and masking capabilities provides the complete capability to secure, encrypt, and mask PII (Personally Identifiable Information) data, which is in alignment with the most stringent data security and privacy requirements in the industry.\r\n<span style=\"font-weight: bold;\">Product Key Features</span>\r\n<span style=\"white-space:pre\">\t</span>Real-Time Behavior Analytics Real-Time creation and continuous update of behavior profiles for every entity and peer group at the time of data and event ingestion.\r\n<span style=\"white-space:pre\">\t</span>Threat Dashboards Personalized and fully-customizable threat dashboards presenting prioritized and aggregated risk scores by organization and department.\r\n<span style=\"white-space:pre\">\t</span>Threat Management Threat management capability for the analysts to review, investigate and escalate incidents, including embedded incident management system with customizable workflows.\r\n<span style=\"white-space:pre\">\t</span>Threat Library The industry’s largest and most mature library of threat models and indicators to detect the most advanced insider and cyber attacks.\r\n<span style=\"white-space:pre\">\t</span>Scalability Horizontally scalable architecture able to monitor organizations with close to 1 million users and billions of transactions per day.\r\n<span style=\"white-space:pre\">\t</span>Third-Party Integrations Data collection and analysis from over 200 supported data sources directly, or from any major log aggregation and SIEM technologies.","shortDescription":"Securonix Enterprise is a behavior-based threat prediction, detection and prevention engine that mines, enriches, analyzes, prioritizes, and transforms machine data into actionable intelligence.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":2,"sellingCount":3,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Securonix Enterprise","keywords":"data, Securonix, with, most, Threat, threat, that, attacks","description":" Using patent pending signature-less anomaly detection techniques that track user, account, and system behavior, Securonix Enterprise automatically and accurately detects the most advanced and sophisticated insider threats and cyber attacks.\r\nDetect insid","og:title":"Securonix Enterprise","og:description":" Using patent pending signature-less anomaly detection techniques that track user, account, and system behavior, Securonix Enterprise automatically and accurately detects the most advanced and sophisticated insider threats and cyber attacks.\r\nDetect insid","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Securonix_Enterprise.jpg"},"eventUrl":"","translationId":324,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"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 "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. 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":1658,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Securonix_Enterprise.jpg","logo":true,"scheme":false,"title":"Securonix User and Entity Behavior Analytics (UEBA)","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"securonix-user-and-entity-behavior-analytics-ueba","companyTitle":"Securonix","companyTypes":["vendor"],"companyId":2733,"companyAlias":"securonix","description":"Securonix UEBA threat detection is built on the latest advanced data sciences concepts, and leverages a big data Hadoop technology stack to enable the required supervised and unsupervised machine learning algorithms for highly accurate attack detection and prioritization. Securonix’s team of scientists and analysts, led by Chief Scientist Igor Baikalov (former head of security intelligence at Bank of America), continuously builds and updates threat models specific to data sources and industries. With our list of marquee customers, Securonix has the most comprehensive and mature set of behavior-based threat models in the industry. Our research efforts are further bolstered by our Threat Research Labs, focused on threat research, response and behavior analysis based detection of critical attacks and data breaches (like WannaCry, NotPetya and the recent Equifax breach).\r\n<span style=\"font-weight: bold;\">Reduce Your Risk of Insider Threats</span>\r\n<ul>\r\n<li>Build a comprehensive risk profile of every user in your environment, based on identity, employment, security violations, IT activity and access, physical access, and even phone records.</li>\r\n<li>Identify true areas of risk by comparing user activity to their individual baseline, their peer group baseline, and known threat indicators.</li>\r\n<li>Results are scored and presented in interactive scorecards.</li>\r\n</ul>\r\n<span style=\"font-weight: bold;\"><br /></span> <span style=\"font-weight: bold;\">Clear Visibility into Your Cloud</span>\r\n<ul>\r\n<li>Provide cloud-to-cloud monitoring capabilities with built-in APIs for all major cloud infrastructure and application technologies.</li>\r\n<li>Detect malicious activity by analyzing user entitlements and events.</li>\r\n<li>Correlate cloud data and on-premises data to add entity context information.</li>\r\n<li>Analyze end-to-end activities to detect actionable threat patterns.</li>\r\n</ul>\r\n<span style=\"font-weight: bold;\"><br /></span> <span style=\"font-weight: bold;\">Proactive Enterprise Fraud Detection</span>\r\n<ul>\r\n<li>Identify complex fraud attacks that typically escape signature-based detection methods using advanced signatureless behavior and peer-based outlier analysis techniques.</li>\r\n<li>Detect account takeover, anomalous user behavior, transaction fraud, and anti-money laundering violations.</li>\r\n</ul>\r\n<span style=\"font-weight: bold;\"><br /></span> <span style=\"font-weight: bold;\">Revolutionize Your Cloud Security</span> With Securonix Cloud you can enjoy all the capabilities of Securonix Security Analytics Platform, with the convenience of a software-as-a-service (SaaS) solution. It provides security that spans across your cloud infrastructure, data, applications, and access control solutions. Benefit from the quick deployment, easy scalability, and shorter time to value of Securonix Cloud.\r\n ","shortDescription":"Securonix User and Entity Behavior Analytics is a software based on Advanced Analytics Powered by Machine Learning","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":7,"sellingCount":3,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Securonix User and Entity Behavior Analytics (UEBA)","keywords":"","description":"Securonix UEBA threat detection is built on the latest advanced data sciences concepts, and leverages a big data Hadoop technology stack to enable the required supervised and unsupervised machine learning algorithms for highly accurate attack detection and pri","og:title":"Securonix User and Entity Behavior Analytics (UEBA)","og:description":"Securonix UEBA threat detection is built on the latest advanced data sciences concepts, and leverages a big data Hadoop technology stack to enable the required supervised and unsupervised machine learning algorithms for highly accurate attack detection and pri","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Securonix_Enterprise.jpg"},"eventUrl":"","translationId":1659,"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 "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. 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. 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