Red Teaming
Definition
A structured adversarial testing process where testers deliberately attempt to break, mislead, or exploit an AI agent — testing its robustness against prompt injection, jailbreaks, social engineering, tool misuse, and edge cases. Red teaming goes beyond automated evaluation by simulating realistic attack scenarios that exploit the interaction between the model, its tools, and the deployment context. It is a critical step before deploying any agent that handles sensitive data, makes consequential decisions, or interacts with external systems.
Builder Context
Red team your agent before every major deployment. Focus on: (1) prompt injection via all input channels (user input, tool results, retrieved documents); (2) tool abuse (can the agent be tricked into calling tools with harmful parameters?); (3) information leakage (can the agent be convinced to reveal system prompts, API keys, or user data?); (4) scope escape (can the agent be directed to perform tasks outside its intended domain?). Automate what you can with adversarial test suites, but manual red teaming catches the creative attack vectors that automated tests miss.