SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response
No tested model fully detected and remediated any one compromised host range.
SecRespond tests LLM agents after compromise, using forensic disk snapshots plus security-product alerts, scans, and baseline checks. The benchmark covers 10 cyber ranges built from distinct compromised cloud hosts across five operating systems. Agents found alert-exposed problems more reliably than silent intrusions on disk. Their remediation plans were also incomplete or insufficiently verified. HF Daily Papers' note
SecRespond tests LLM agents after compromise, using forensic disk snapshots plus security-product alerts, scans, and baseline checks. The benchmark covers 10 cyber ranges built from distinct compromised cloud hosts across five operating systems. Agents found alert-exposed problems more reliably than silent intrusions on disk. Their remediation plans were also incomplete or insufficiently verified. HF Daily Papers' note
score 5