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Safety · Fast-moving · Intermediate

AI Red Teaming

Deliberately attacking your own AI system to find harmful, insecure or embarrassing behaviour before users or attackers do.

What AI Red Teaming is

Red teaming spans safety — attempts to elicit harmful content — and security, such as injection, exfiltration and jailbreaks, and increasingly agent misuse of tools.

How it works

Teams combine expert manual probing with automated attack generation, categorise findings by severity, fix through guardrails or tuning, and convert every finding into a permanent regression test.

Why it matters

It is now an expected pre-deployment step for consequential AI systems and a common requirement in enterprise procurement.

Common uses

  • Pre-launch safety assessment
  • Ongoing regression suites
  • Compliance evidence

Strengths

  • Finds real failures rather than hypothetical ones

Watch for

  • Coverage is never complete
  • Needs specialist skills

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