![]() See how behavior analytics is used in Microsoft Defender for Cloud Apps for an example of how this works. Activities identified as the most abnormal receive the highest scores (on a scale of 0-10). ScoringĮach activity is scored with “Investigation Priority Score” – which determine the probability of a specific user performing a specific activity, based on behavioral learning of the user and their peers. See Enable User and Entity Behavior Analytics (UEBA) in Microsoft Sentinel to learn how to enable UEBA and synchronize user identities. Now in preview, you can also sync your on-premises Active Directory user entity information as well, using Microsoft Defender for Identity. When you enable UEBA, it synchronizes your Azure Active Directory with Microsoft Sentinel, storing the information in an internal database visible through the IdentityInfo table in Log Analytics. The user entity information that Microsoft Sentinel uses to build its user profiles comes from your Azure Active Directory (and/or your on-premises Active Directory, now in Preview). as compared to organization's behavior.across time and frequency horizons (compared to user's own history).across geographical locations, devices, and environments.Actions performed by a user (or a host, or an address) are evaluated contextually, where a "true" outcome indicates an identified anomaly: Microsoft Sentinel presents artifacts that help your security analysts get a clear understanding of anomalous activities in context, and in comparison with the user's baseline profile. Use cases: By prioritizing for relevant attack vectors and scenarios based on security research aligned with the MITRE ATT&CK framework of tactics, techniques, and sub-techniques that puts various entities as victims, perpetrators, or pivot points in the kill chain Microsoft Sentinel focuses specifically on the most valuable logs each data source can provide.ĭata Sources: While first and foremost supporting Azure data sources, Microsoft Sentinel thoughtfully selects third-party data sources to provide data that matches our threat scenarios.Īnalytics: Using various machine learning (ML) algorithms, Microsoft Sentinel identifies anomalous activities and presents evidence clearly and concisely in the form of contextual enrichments, some examples of which appear below. Inspired by Gartner’s paradigm for UEBA solutions, Microsoft Sentinel provides an "outside-in" approach, based on three frames of reference: Armed with this information, you can effectively prioritize your investigation and incident handling. Not only that, but it can also figure out the relative sensitivity of particular assets, identify peer groups of assets, and evaluate the potential impact of any given compromised asset (its “blast radius”). Using a variety of techniques and machine learning capabilities, Microsoft Sentinel can then identify anomalous activity and help you determine if an asset has been compromised. What is User and Entity Behavior Analytics (UEBA)?Īs Microsoft Sentinel collects logs and alerts from all of its connected data sources, it analyzes them and builds baseline behavioral profiles of your organization’s entities (such as users, hosts, IP addresses, and applications) across time and peer group horizon. The UEBA capability in Microsoft Sentinel eliminates the drudgery from your analysts’ workloads and the uncertainty from their efforts, and delivers high-fidelity, actionable intelligence, so they can focus on investigation and remediation. Particularly elusive threats like zero-day, targeted, and advanced persistent threats can be the most dangerous to your organization, making their detection all the more critical. Sifting through alerts, connecting the dots, and active hunting all add up to massive amounts of time and effort expended with minimal returns, and the possibility of sophisticated threats simply evading discovery. Identifying threats inside your organization and their potential impact - whether a compromised entity or a malicious insider - has always been a time-consuming and labor-intensive process. ![]() ![]() For information about feature availability in US Government clouds, see the Microsoft Sentinel tables in Cloud feature availability for US Government customers. ![]()
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