SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response

Researchers introduced SecRespond, the first benchmark for post-compromise incident response by LLM agents.

It combines forensic disk snapshots, security alerts, vulnerability scans, and baseline checks across 10 compromised cloud-host cyber ranges.

In tests of 23 frontier models, agents did better on alert-driven problems than on hidden disk-based intrusions.

Many models still failed to produce complete, validated remediation plans, exposing a major gap in AI security tooling.