Datadog Cloud SIEM has introduced anomaly detection rules to enhance the security of cloud environments by identifying and alerting on unusual activity. This feature allows for the analysis of logs to establish baseline behavior for specific entities such as hosts, IP addresses, and users, and generates Security Signals when deviations occur. Unlike threshold-based detection, which requires predefined limits, anomaly detection dynamically adjusts to historical behavior, helping to monitor activities like API calls or access requests that could indicate compromised accounts. For instance, it can detect unusual API activity from service accounts or anomalous spikes in Salesforce user queries, which might suggest unauthorized access attempts. Security Signals provide comprehensive data, including event times and associated user information, enabling quick investigation and response. These signals remain active as long as the anomaly persists, helping to determine its duration and impact. Datadog’s new feature is available to current customers and new users can explore it through a 14-day free trial.