Red Teaming
A structured approach where dedicated teams attempt to find vulnerabilities, biases and failure modes in AI systems through simulated attacks and adversarial testing before deployment.
In plain language
Hiring people to deliberately try to break or trick your AI before bad actors do. Like a bank hiring someone to test vault security by attempting a controlled break-in, finding weaknesses so you can fix them.
Why this matters
Red teaming is a best practice for AI governance that helps organisations discover risks before they cause harm or regulatory attention. Incorporating regular red teaming into your AI lifecycle demonstrates proactive risk management to regulators and stakeholders.
Relevance
ImplementationStructured red teaming identifies vulnerabilities and edge cases that standard testing misses, enabling organisations to address risks before systems reach production and face real-world adversarial use.
Related terms
Putting red teaming into practice in your organisation?
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