What Is Red Teaming in AI

Red teaming in AI is the structured practice of testing AI systems by simulating adversarial attacks, edge cases, and misuse scenarios. The goal is to discover failures before they occur in production, rather than discovering them through user reports or incidents.

The term originates from military exercises where a designated "red team" plays the role of the adversary. In AI safety, red teamers attempt to make the system behave in unintended ways: producing harmful content, leaking private data, bypassing safety controls, or executing unauthorized actions.

Red teaming for AI agents covers several attack surfaces:

Prompt injection. Crafting inputs that override the agent's instructions or manipulate its behavior. This includes both direct injection (targeting the system prompt) and indirect injection (embedding malicious instructions in retrieved content).

Tool misuse. Constructing scenarios where the agent uses its available tools in harmful ways. This might involve calling a database deletion tool, exfiltrating data through an API call, or escalating privileges through a chain of actions.

Goal hijacking. Redirecting the agent toward objectives different from those intended by its operator. This tests whether the agent's goal-following is robust against social engineering and manipulation.

Safety bypass. Attempting to circumvent guardrails, content filters, and policy enforcement through obfuscation, encoding tricks, or multi-step attack chains.

Effective red teaming requires structure. Teams should maintain a catalog of known attack patterns, track which attacks have been tested against which deployments, and document both successful and unsuccessful attempts.

Automated red teaming tools can supplement manual testing by generating large volumes of adversarial inputs. However, they cannot replace human creativity in designing novel attack scenarios.

Red teaming should be a continuous process, not a one-time event. As models are updated, tools are added, and policies change, new attack surfaces emerge. Regular red team exercises ensure that safety controls remain effective against evolving threats.