Colorado ADMT rules: hearing and last day for written comments · Oct 26, 2026 · See what changes
A structured adversarial testing process in which a team deliberately attempts to make an AI system fail by crafting inputs that cause harmful, biased, or unintended outputs. Red-teaming borrows from cybersecurity practice (where a 'red team' simulates attackers). In AI, red-teamers probe for harmful content generation, jailbreaks, prompt injection, bias amplification, and factual failures. The EU AI Act requires providers of general-purpose AI models with systemic risk to conduct and document adversarial testing (Article 55). For small teams deploying AI, a lightweight red-teaming exercise, trying to break your own system before users do, is a practical pre-deployment step.
Why this matters for your team
Before launching any AI-facing product, spend a few hours trying to break your own system — get it to say something harmful, reveal internal data, or produce incorrect critical information. This lightweight exercise routinely surfaces vulnerabilities that testing in ideal conditions misses.
Before launching an AI customer service bot, a team spends two hours trying to make it give incorrect refund amounts, reveal internal pricing, or produce offensive responses. This red-teaming exercise surfaces a prompt injection vulnerability that is fixed before launch.