Did you know that in 2022, the mean time to detect a breach was as many as 207 days? It’s crucial for organizations to detect and prioritize threats promptly, so they can be contained.
One of the best ways to detect and prioritize threats is to constantly analyze the level of risk posed by users and devices in a network. A security information and event management (SIEM) solution integrated with user and entity behavior analytics (UEBA) capabilities, also known as anomaly detection, helps you accomplish this.
With UEBA capabilities, a SIEM, over time, identifies and tracks risky users and assets across your network based on their anomalous behavior. This helps you detect threats before they occur as you prioritize threats based on risk scores. But, how does risk-scoring work? If a user’s risk score increases, how long will it take for it to return its typical score? Can you customize a risk score based on the weight you assign to different threats? Can you build custom anomaly models based on your requirements?
To learn more, check out our latest e-book, How to improve risk scoring and threat detection with UEBA.
In this e-book, you’ll learn:
-
How anomaly detection works.
-
How anomaly detection techniques, such as peer group analysis, seasonality, and user identity mapping improve risk scoring accuracy.
-
How ManageEngine Log360 helps you detect anomalies and mitigate cyberattacks.
Ready to explore more?
Download the e-book to gain insights into the inner workings of anomaly detection, and discover how it improves your risk scoring and threat detection accuracy. Happy learning, folks!
