What is Red Teaming?
Red Teaming — Actively testing an AI system by simulating adversarial attacks to discover vulnerabilities.
Red teaming subjects AI systems to adversarial testing — deliberately trying to make them fail, produce harmful content, leak data, or behave unexpectedly. It is a critical pre-deployment safety step adopted from cybersecurity practices.
Frequently Asked Questions
What does an AI red team test for?
Prompt injection vulnerabilities, harmful content generation, data leakage, bias in outputs, jailbreak susceptibility, and unexpected behaviors under edge-case inputs.
When should I red team my AI?
Before any customer-facing deployment. Also after significant model updates, prompt changes, or when expanding to new use cases. Continuous red teaming is best practice.
Can I automate red teaming?
Partially. Tools can run large-scale adversarial prompt tests automatically. But human red teamers are still essential for creative attack scenarios that automated tools miss.