Khaos reveals how AI agents can be exploited, where they break under pressure, and what changed between versions—before your users find out.
From chaos, comprehension.
What We Do
Capture how agents reason, decide, and act. Full visibility into the internal mechanics of autonomous systems.
Introduce controlled failures to reveal how systems behave at the edge. Understand resilience through adversity.
Turn reliability, security, and coherence into measurable properties. Replace intuition with evidence.
Feed measurements back into development. Build systems that improve through understanding, not just scale.
Our Product
The security and resilience testing platform built for AI agents. Khaos reveals how your agents can be exploited and where they break—through automated attack testing, fault injection, and behavioral comparison across versions.
Comprehensive attack library for prompt injection, data leakage, and tool abuse
Configurable fault injection to stress-test agent resilience
Compare runs to catch drift and regression
Gate deployments on security and resilience scores
Our Approach
We study what AI systems actually do, not what we hope they do. Empirical measurement replaces assumption.
Reliability, security, and alignment must be quantified to be improved. We turn ethics into engineering.
When humans can see how AI reasons, they can work with it effectively. Legibility is the foundation of trust.
Get early access to Khaos and join the movement toward legible AI.