You should take some time to familiarize yourself with the more popular detections, such as:Īctivities from the same user in different locations within a period that is shorter than the expected travel time between the two locations.Īctivity from a location that was not recently or never visited by the user. Several built-in anomaly detection policies are available in Defender for Cloud Apps that are preconfigured for common security use cases. Start by familiarizing yourself with the different detection policies, prioritize the top scenarios that you think are most relevant for your organization, and tune the policies accordingly. These detections are automatically enabled out of the box and will start to profile user activity and generate alerts as soon as the relevant app connectors are connected. Review out-of-the-box anomaly detection alertsĭefender for Cloud Apps includes a set of anomaly detection alerts to identify different security scenarios. So, for example, identifying your physical office IP addresses allows you to customize the way logs and alerts are displayed and investigated. Keep this in mind when configuring the ranges. Note: Configured IP ranges are not limited to detections and are used throughout Defender for Cloud Apps in areas such as activities in the activity log, conditional access, etc. For example, adding the IP address range of your VPN will help the model to correctly classify this IP range and automatically exclude it from impossible travel detections because the VPN location doesn't represent the true location of that user.
Suspicious behavior how to#
In this tutorial, you'll learn how to tune user activity detections to identify true compromises and reduce alert fatigue resulting from handling large volumes of false positive detections: The following policies can be fine-tuned by setting filters, dynamic thresholds (UEBA) to help train their detection models, and suppressions to reduce common false positive detections: The logs are analyzed against the cloud app catalog, ranked, and scored based on more than 90 risk factors.Īctivities from your Conditional Access App Control apps. Hence, to fully realize the benefits of these detections, first make sure you configure the following sources:Īctivities extracted from firewall and proxy traffic logs that are forwarded to Defender for Cloud Apps. The collected data is correlated, standardized, and enriched with threat intelligence, location, and many other details to provide an accurate, consistent view of suspicious activities. Using data captured from several sources, Defender for Cloud Apps analyzes the data to extract app and user activities in your organization giving your security analysts visibility into cloud use. For instance, key corporate resources like the servers running your public website or service you're providing to customers can be compromised. So why is it important to detect suspicious behavior? The impact of a user able to alter your cloud environment can be significant and directly impact your ability to run your business. Our comprehensive solution is achieved by combining multiple detection methods, including anomaly, behavioral analytics (UEBA), and rule-based activity detections, to provide a broad view of how your users use apps in your environment. Microsoft Defender for Cloud Apps provides best-of-class detections across the attack kill chain for compromised users, insider threats, exfiltration, ransomware, and more.
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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