anomaly-detection

API endpoint anomaly detection is performed by profiling endpoints during Phase 4 to establish baseline behavior, then flagging deviations in timing, headers, body, status, and cookies for investigation.

The best way to baseline API behavior for deviation detection is to profile endpoints across authenticated and unauthenticated paths, recording normal endpoint timing, headers, body, status, and cookies to compare future requests against.

You can prioritize anomalous API endpoints by using convergent signals to escalate high-priority findings, which outputs a prioritized queue of anomalous endpoints with suggested investigations to accelerate remediation.

Yes, you can profile authenticated and unauthenticated API paths for security anomalies. The detection scope explicitly covers endpoint timing, headers, body, status, and cookies across both paths to baseline behavior.

When profiling API endpoints, you can flag deviations in endpoint timing, headers, body content, status codes, and cookies to identify anomalous behavior that strays from the established baseline.

You need to establish a baseline before detecting endpoint anomalies because deviation detection relies on comparing current API behavior against recorded normal endpoint patterns to accurately identify and rank anomalies.