SIR-Bench Reveals True Investigative Capacity in Autonomous Incident Response

As organizations increasingly rely on automated security incident response, distinguishing genuine forensic investigation from simple alert processing becomes critical. SIR-Bench introduces a comprehensive evaluation framework that measures not just correct decisions, but active evidence discovery through novel forensic findings. By establishing clear baseline standards—97.1% true positive detection and 73.4% false positive rejection—the benchmark enables security teams to assess the true investigative capabilities of AI agents rather than mistaking pattern recognition for investigation.