![]() ![]() The sensitivity slider allows you to affect the algorithm and define how strict the detection logic is. To make this work, the detection logic includes different levels of suppression to address scenarios that can trigger false positive, such as VPN activities, or activity from cloud providers that don't indicate a physical location. The activity should be unusual enough to be considered an indicator of compromise and worthy of an alert. The impossible travel detection identifies unusual and impossible user activity between two locations. The detection has an initial learning period of seven days during which it learns a new user's activity pattern. This detection uses a machine-learning algorithm that ignores obvious "false positives" contributing to the impossible travel condition, such as VPNs and locations regularly used by other users in the organization. This detection identifies two user activities (in a single or multiple sessions) originating from geographically distant locations within a time period shorter than the time it would have taken the user to travel from the first location to the second, indicating that a different user is using the same credentials. The following anomaly detection policies are available: Impossible travel Then choose Anomaly detection policy for the policy type. ![]() You can see the anomaly detection policies in the Microsoft 365 Defender portal, by going to Cloud Apps -> Policies -> Policy management. These policies will appear on the Defender for Cloud Apps policies page and can be enabled or disabled. For more information, see Azure AD's Sign-in risk detections. Risky sign-in: Combines a number of Azure AD Identity Protection sign-in detections into a single detection.For more information, see Azure AD's Leaked credentials detection. Leaked credentials: Triggered when a user's valid credentials have been leaked.In addition to native Defender for Cloud Apps alerts, you'll also get the following detection alerts based on information received from Azure Active Directory (AD) Identity Protection: Defender for Cloud Apps looks at every user session on your cloud and alerts you when something happens that is different from the baseline of your organization or from the user's regular activity. The risk is evaluated by looking at over 30 different risk indicators, grouped into risk factors, as follows:īased on the policy results, security alerts are triggered. These detections also use machine-learning algorithms designed to profile the users and sign in pattern to reduce false positives.Īnomalies are detected by scanning user activity. These detections are part of the heuristic anomaly detection engine that profiles your environment and triggers alerts with respect to a baseline that was learned on your organization's activity. Be aware that it may take several hours for data to be available from API connectors. After that, as data is collected from your configured API connectors, each session is compared to the activity, when users were active, IP addresses, devices, and so on, detected over the past month and the risk score of these activities. The anomaly detection policies are automatically enabled, but Defender for Cloud Apps has an initial learning period of seven days during which not all anomaly detection alerts are raised. In addition, the policies expose more data from the Defender for Cloud Apps detection engine, to help you speed up the investigation process and contain ongoing threats. Because they're automatically enabled, the new anomaly detection policies immediately start the process of detecting and collating results, targeting numerous behavioral anomalies across your users and the machines and devices connected to your network. The Microsoft Defender for Cloud Apps anomaly detection policies provide out-of-the-box user and entity behavioral analytics (UEBA) and machine learning (ML) so that you're ready from the outset to run advanced threat detection across your cloud environment. For more information about these changes, see Microsoft Defender for Cloud Apps in Microsoft 365 Defender. It improves your operational efficiency with better prioritization and shorter response times which protect your organization more effectively. Microsoft 365 Defender correlates signals from the Microsoft Defender suite across endpoints, identities, email, and SaaS apps to provide incident-level detection, investigation, and powerful response capabilities. Microsoft Defender for Cloud Apps is now part of Microsoft 365 Defender and can be accessed through its portal at. ![]()
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