The state of AI for security: Measuring what matters most for building trust

Security teams are starting to actively use AI for security work, including vulnerability triage, penetration testing, threat modeling, incident response, and code review. The promise is speed, but a security tool that moves fast and raises too many false alarms doesn’t save time. Engineers spend time on false alarms, on-call is noisier, and teams distrust findings that matter. Today, we’re releasing Deception Benchmark, the first benchmark designed to measure that trust…

Diamond Model