Inspect Petri tests your own agents for out-of-scope behavior

Inspect Petri gives IT and AI leaders a practical way to stress-test language models and agents for alignment failures, reward hacking, sycophancy, and other out-of-scope behaviors before they reach production. Strategically, it turns model evaluation into a repeatable audit process with auditor, target, and judge roles, helping organizations reduce AI risk, improve governance, and make deployment decisions with evidence rather than intuition. For IT teams building or adopting agentic AI, Petri suggests that monitoring and red-teaming need to become part of the standard model lifecycle, not a one-time safety review.