Safety Testing

A structured testing methodology where adversarial tactics are simulated to discover vulnerabilities, safety flaws, and failure modes in a system.

A testing method that deliberately uses challenging, deceptive, or malicious inputs to evaluate an AI system's robustness, reliability, and security.

A security testing method that evaluates whether an AI system can be manipulated into bypassing its safety policies, behavioral constraints, or security guardrails through adversarial prompts or other attack techniques.

The process of evaluating an AI system for unfair, systematic, or discriminatory behavior across different users, groups, or scenarios.

The process of evaluating an AI model or agent to detect and measure toxic, hateful, or abusive language in outputs.