AI systems don't fail loudly. They degrade quietly until a customer, a regulator, or a headline surfaces what your team missed.
Gray Swan stress-tests your AI the way the real world will. Before the real world does.
Enterprise AI goes to production based on evals, benchmarks, and internal QA. None of that tells you what happens when real users, or real attackers, push your system into territory you didn't anticipate.
Manual testing covers the scenarios you can think of. It's the ones you can't account for that cause incidents.
Policies that pass internal review but collapse under adversarial input, novel phrasing, or multi-step manipulation.
Strong benchmark performance masks fragile real-world behavior. Systems look robust until they aren't.
Without pre-deployment stress testing, failures are discovered by customers, not engineers.
Gray Swan’s autonomous red-teaming engine, systematically probes your AI for failure points: policy gaps, guardrail bypasses, edge-case breakdowns, and adversarial vulnerabilities. It doesn't run a checklist. It thinks like an attacker, generating novel inputs designed to surface the failures your internal testing missed.
Every attack pattern Shade runs is built on live threat intelligence from the Arena, where Gray Swan's research team discovers emerging failure modes well before they reach public disclosure.
Cygnal provides continuous runtime monitoring, catching behavioral anomalies and policy violations as your AI operates in production. When Shade finds a weakness pre-deployment, Cygnal ensures it's enforced at runtime, closing the loop between testing and protection.
Every model update, prompt change, or policy revision gets stress-tested against the same adversarial scenarios ensuring fixes don't introduce new failures.
When edge cases make it past testing, Cygnal flags behavioral anomalies in production before they escalate into incidents.
New failure modes and adversarial techniques are discovered continuously in Gray Swan's Arena and built into Shade's test scenarios, so your testing stays ahead of the threat landscape.
Our research has directly informed the safety evaluations of some of the most advanced AI models in the world.
See what Gray Swan’s automated red teaming finds in your AI systems, before your users do.
