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Identity and access management software offers role-based access control, which lets system administrators regulate access to systems or networks based on the roles of individual users within the enterprise. In this context, access is the ability of an individual user to perform a specific task, such as view, create or modify a file. Roles are defined according to job competency, authority and responsibility within the enterprise.\r\nSystems used for identity and access management include single sign-on systems, multi-factor authentication and privileged access management (PAM). These technologies also provide the ability to securely store identity and profile data as well as data governance functions to ensure that only data that is necessary and relevant is shared. IAM systems can be deployed on premises, provided by a third-party vendor through a cloud-based subscription model or deployed in a hybrid cloud.\r\n<span style=\"font-weight: bold; \">Basic components of IAM.</span> On a fundamental level, IAM encompasses the following components:\r\n<ul><li>How individuals are identified in a system.</li><li>How roles are identified in a system and how they are assigned to individuals.</li><li>Adding, removing and updating individuals and their roles in a system.</li><li>Assigning levels of access to individuals or groups of individuals.</li><li>Protecting the sensitive data within the system and securing the system itself.</li></ul>\r\nAccess identity management system should consist of all the necessary controls and tools to capture and record user login information, manage the enterprise database of user identities and orchestrate the assignment and removal of access privileges. That means that systems used for IAM should provide a centralized directory service with oversight as well as visibility into all aspects of the company user base.\r\nTechnologies for identity access and management should simplify the user provisioning and account setup process. User access management software should reduce the time it takes to complete these processes with a controlled workflow that decreases errors as well as the potential for abuse while allowing automated account fulfillment. An identity and access management system should also allow administrators to instantly view and change access rights.\r\nIAM systems should be used to provide flexibility to establish groups with specific privileges for specific roles so that access rights based on employee job functions can be uniformly assigned. Identity access management software should also provide request and approval processes for modifying privileges because employees with the same title and job location may need customized, or slightly different, access.\r\n\r\n","materialsDescription":"<h1 class=\"align-center\"><span style=\"font-weight: bold; \">What is the difference between identity and access management?</span></h1>\r\nAfter authentication, there needs to be an access control decision. The decision is based on the information available about the user. The difference between identity management and access management is thus:\r\n<ul><li>Identity Management is about managing the attributes related to the user.</li><li>Access Management is about evaluating the attributes based on policies and making Yes/No decisions.</li></ul>\r\nThere are three types of Access Control Systems: \r\n<ul><li>Discretionary Access Control (DAC)</li><li>Mandatory Access Control (MAC)</li><li>Role-Based Access Control (RBAC)</li></ul>\r\n<h1 class=\"align-center\">What are the main benefits of identity management?</h1>\r\nIdentity access and management are useful in many ways: it ensures regulatory compliance, enables cost savings, and simplifies the lives of your customers by enhancing their experience. These are the main benefits of having an IAM solution:\r\n<ul><li><span style=\"font-weight: bold; \">Easily accessible anywhere</span></li></ul>\r\nNowadays, people need their identities all the time to use services and resources. In that sense, they require access to any platform without limits using their IDs, thus eliminating barriers for customers to enter the platform anytime, anywhere.\r\n<ul><li><span style=\"font-weight: bold; \">It encourages the connection between the different parts</span></li></ul>\r\nThe digital transformation that is taking place among more and more organizations forces the need for people, applications and devices to stay connected to each other. And, as expected, all of these processes bring with them some security threats.\r\nHowever, IAM software is a solution that guarantees correct administration with the best identity providers, such as Salesforce, Twitter and Google. Authentication and security are two of the strengths of Identity and Access Management, as well as being extendable and ready for future advances.&nbsp; \r\n<ul><li><span style=\"font-weight: bold; \">It improves productivity</span></li></ul>\r\nIdentity software automates the entry of new personnel and facilitates access to all components of the system with which the company operates. This allows reducing times in the delivery of access so that they begin to produce immediately. For this reason, business agility is also increased by using the advantages that technology makes available to meet the demands of today’s world. \r\n<ul><li><span style=\"font-weight: bold; \">It optimizes user experience</span></li></ul>\r\nRemembering so many usernames and passwords to access social networks, banks and other services on the Internet becomes a challenge for people. Thanks to user identity management system, people can get an identity that provides access to different systems. Single sign-on (SSO) allows customers and partners to access different internal and external applications with the same access method. That way the user experience will not be affected.\r\n<ul><li><span style=\"font-weight: bold; \">Secure your brand at all levels</span></li></ul>\r\nThere will be no risk of security breach, regardless of whether a connection is made from multiple identity providers. Identity management software and access management software enables strong authentication to keep your business and brand secure. Detailed verification of all identities entering the system is performed, in addition to allowing various licenses to limit access levels. At the same time, it monitors through analysis, fraud detection and alert functions that indicate a possible real risk. In short, enterprise identity management system is a reliable tool that employs technology to support digital transformation. A software that provides agility, security and satisfaction to the company’s customers. ","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_IAM.png","alias":"iam-identity-and-access-management"},"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"},"848":{"id":848,"title":"Multi-factor authentication","description":" Multi-factor authentication (MFA) is an authentication method in which a computer user is granted access only after successfully presenting two or more pieces of evidence (or factors) to an authentication mechanism: knowledge (something the user and only the user knows), possession (something the user and only the user has), and inherence (something the user and only the user is).\r\nTwo-factor authentication (also known as 2FA) is a type, or subset, of multi-factor authentication. It is a method of confirming users' claimed identities by using a combination of two different factors: 1) something they know, 2) something they have, or 3) something they are.\r\nA good example of two-factor authentication is the withdrawing of money from an ATM; only the correct combination of a bank card (something the user possesses) and a PIN (something the user knows) allows the transaction to be carried out.\r\nTwo other examples are to supplement a user-controlled password with a one-time password (OTP) or code generated or received by an authenticator (e.g. a security token or smartphone) that only the user possesses.\r\nTwo-step verification or two-step authentication is a method of confirming a user's claimed identity by utilizing something they know (password) and a second factor other than something they have or something they are. An example of a second step is the user repeating back something that was sent to them through an out-of-band mechanism. Or, the second step might be a six digit number generated by an app that is common to the user and the authentication system.","materialsDescription":" <span style=\"font-weight: bold;\">What is MFA?</span>\r\nMulti-factor authentication (MFA) combines two or more independent authentication factors. For example, suppose your website required your clients to enter something only they would know upon login (password), something they have (like a one-time smartphone authentication token provided by special software), and a biometric identifier (like a thumbprint). It is pretty hard for a mortgage cyber-attacker to have all three of those items, especially the biometric identifier.\r\n<span style=\"font-weight: bold;\">Why do I need MFA? What are the benefits?</span>\r\nPasswords are becoming increasingly easy to compromise. They can be stolen, “phished”, guessed, and hacked. New technology and hacking techniques combined with the limited pool of passwords most people use for multiple accounts increases vulnerability.\r\n<span style=\"font-weight: bold;\">How does MFA work?</span>\r\nMulti-factor authentication throws a few roadblocks in the hacker's pathway. Location factors are one way for a security system to identify a person's identity. For example, work schedules and location can determine whether a user is who he says he is. Time is another example of a security layer. If a person uses his phone at a job in the US, it is physically impossible for him to use it again from Europe 15 minutes later. These are especially helpful in online bank fraud and, by extension, mortgage company fraud.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Multi-factor_authentication.png","alias":"multi-factor-authentication"}},"branches":"Information Technology","companySizes":"More than 2000 Employees","companyUrl":"https://www.elastic.co/","countryCodes":[],"certifications":[],"isSeller":true,"isSupplier":true,"isVendor":true,"presenterCodeLng":"","seo":{"title":"Elastic","keywords":"Elastic, using, differently, data, their, logs, analyze, explore","description":"Elastic (NYSE: ESTC) is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for use cases like application search, s","og:title":"Elastic","og:description":"Elastic (NYSE: ESTC) is a search company. 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Elastic will integrate the Prelert technology into the Elastic Stack, and will offer it as part of its subscription packages in 2017, giving Elastic customers more capabilities to solve complex use cases such as cybersecurity, fraud detection, and IT operations analytics, among others. Prelert was founded in 2008 to create technology that automates the discovery of anomalies in large, complex datasets, predicts actions and outcomes, and provides enterprises and their end users with a consumable application that doesn't require them to perform data science. Using unsupervised machine learning techniques applied to a customer's historical and real-time continuous data, Prelert's predictive models perform behavioral analytics to understand the probability of failures and events occurring with built-in alerting and notifications for end users to explain 'why' something has happened and 'what' to do with that information. More companies, from startups to large enterprises, are storing large amounts of structured and unstructured data in Elasticsearch. With 'search' becoming the foundation for many of these companies to address their most complex use cases, Prelert built an Elastic Stack integration to provide Elasticsearch users with an automated way to understand the 'why' in their data and take action on 'difficult to see' insights. Combining Elastic's Kibana user interface framework and Prelert's behavioral analytics technology, customers are able to solve common problems in their continuous and ever-growing data, including:\r\n<ul>\r\n<li>detecting advanced security threat activities and anomalies in log data,</li>\r\n<li>discovering hidden fraud patterns in highly sensitive data,</li>\r\n<li>identifying anomalous systems or metrics and their root causes across IT systems,</li>\r\n<li>linking together complex series of events in data to expose early warning signals,</li>\r\n<li>automatically pinpointing where and why critical system outages are occurring,</li>\r\n<li>detecting unexpected drops in transactional activity, and much more.</li>\r\n</ul>\r\n","shortDescription":"Elastic Stack is UEBA.Built on an open source foundation, the Elastic Stack lets you reliably and securely take data from any source, in any format, and search, analyze, and visualize it in real time.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":3,"sellingCount":5,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Elastic Stack","keywords":"","description":"Elastic, the company behind Elasticsearch, and the Elastic Stack, the most widely used collection of open source products for solving mission-critical use cases like search, logging, and analytics, has acquired Prelert, a leading provider of behavioral analyti","og:title":"Elastic Stack","og:description":"Elastic, the company behind Elasticsearch, and the Elastic Stack, the most widely used collection of open source products for solving mission-critical use cases like search, logging, and analytics, has acquired Prelert, a leading provider of behavioral analyti","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Elastic.png"},"eventUrl":"","translationId":1670,"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. 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Elastic will integrate the Prelert technology into the Elastic Stack, and will offer it as part of its subscription packages in 2017, giving Elastic customers more capabilities to solve complex use cases such as cybersecurity, fraud detection, and IT operations analytics, among others. Prelert was founded in 2008 to create technology that automates the discovery of anomalies in large, complex datasets, predicts actions and outcomes, and provides enterprises and their end users with a consumable application that doesn't require them to perform data science. Using unsupervised machine learning techniques applied to a customer's historical and real-time continuous data, Prelert's predictive models perform behavioral analytics to understand the probability of failures and events occurring with built-in alerting and notifications for end users to explain 'why' something has happened and 'what' to do with that information. More companies, from startups to large enterprises, are storing large amounts of structured and unstructured data in Elasticsearch. With 'search' becoming the foundation for many of these companies to address their most complex use cases, Prelert built an Elastic Stack integration to provide Elasticsearch users with an automated way to understand the 'why' in their data and take action on 'difficult to see' insights. Combining Elastic's Kibana user interface framework and Prelert's behavioral analytics technology, customers are able to solve common problems in their continuous and ever-growing data, including:\r\n<ul>\r\n<li>detecting advanced security threat activities and anomalies in log data,</li>\r\n<li>discovering hidden fraud patterns in highly sensitive data,</li>\r\n<li>identifying anomalous systems or metrics and their root causes across IT systems,</li>\r\n<li>linking together complex series of events in data to expose early warning signals,</li>\r\n<li>automatically pinpointing where and why critical system outages are occurring,</li>\r\n<li>detecting unexpected drops in transactional activity, and much more.</li>\r\n</ul>\r\n","shortDescription":"Elastic Stack is UEBA.Built on an open source foundation, the Elastic Stack lets you reliably and securely take data from any source, in any format, and search, analyze, and visualize it in real time.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":3,"sellingCount":5,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Elastic Stack","keywords":"","description":"Elastic, the company behind Elasticsearch, and the Elastic Stack, the most widely used collection of open source products for solving mission-critical use cases like search, logging, and analytics, has acquired Prelert, a leading provider of behavioral analyti","og:title":"Elastic Stack","og:description":"Elastic, the company behind Elasticsearch, and the Elastic Stack, the most widely used collection of open source products for solving mission-critical use cases like search, logging, and analytics, has acquired Prelert, a leading provider of behavioral analyti","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Elastic.png"},"eventUrl":"","translationId":1670,"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. 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