CRITICALAI Evaluation Red Team
AI Red Teaming
AI red teaming is the practice of systematically probing AI systems for vulnerabilities, safety failures, bias, and harmful behaviors through adversarial testing that simulates real-world attack scenarios and edge cases. Enterprises need red teaming capabilities because standard evaluation benchmarks do not capture the creative adversarial techniques that real attackers will use, and regulatory frameworks including the EU AI Act and the White House AI Executive Order increasingly mandate adversarial testing. Evaluate vendors on their breadth of attack techniques covering prompt injection, jailbreaking, bias elicitation, and information extraction, along with automated attack generation, customizable attack libraries, and reporting that maps findings to remediation actions. Key differentiators include the ability to conduct both automated and human-assisted red teaming, support for custom attack scenarios relevant to your specific use cases, and integration with your development workflow for continuous adversarial testing.