Red Teaming

Executive Definition: Red Teaming — Actively testing an AI system by simulating adversarial attacks to discover vulnerabilities.

Red teaming subjects AI systems to adversarial testing to discover vulnerabilities, harmful outputs, and security risks. Adapted from cybersecurity, it is an essential pre-deployment safety measure to ensure systems behave reliably under malicious or unexpected inputs.

Frequently Asked Questions

What does an AI red team test for?

Prompt injection, harmful content generation, data leakage, bias, jailbreaks, and unexpected edge-case behaviors.

When should I red team my AI?

Before customer-facing deployment, after major model or prompt updates, and continuously in production environments.

Can I automate red teaming?

Partially. Automated tools can run large-scale prompt testing, but human experts are required for novel, creative attack scenarios.