Adversarial Testing

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

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 AI systems to identify vulnerabilities, harmful outputs, and policy violations before deployment.

A metric measuring an AI system's ability to maintain performance and stability under varied, unseen, or adversarial conditions.

A systematic process for identifying, analyzing, and prioritizing potential security threats and vulnerabilities in a system.