Attack Simulation

Know your exposure before attackers do

Automated adversarial testing campaigns that continuously probe your AI systems against the OWASP LLM Top 10 and emerging attack techniques.

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You can't defend what you haven't tested

Most AI systems have never faced adversarial evaluation. Without continuous testing, you're relying on hope — not evidence — that your defenses work.

OWASP LLM Top 10 campaigns
Pre-built attack campaigns covering the full OWASP LLM Top 10: prompt injection, insecure output handling, training data poisoning, model theft, and more.
Garak and PyRIT integration
Leverage industry-standard attack frameworks through native adapters. Run sophisticated adversarial tests without building custom tooling.
Campaign allowlisting
Red team traffic is automatically allowlisted through guardrails while still generating detection telemetry. Test your defenses without false positives.
Detection coverage measurement
Quantify how many attack techniques your guardrails actually catch. Identify gaps in coverage before real attackers find them.

Closes the loop with guardrails

Attack simulation results reveal gaps in guardrail detection coverage. Findings feed back into policy refinement, creating a continuous improvement cycle between offense and defense.

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