AI risk management is the ongoing process of identifying, assessing, and mitigating the specific risks introduced by AI systems, including data exposure, model failure, bias, and misuse.
Why It Matters
AI systems introduce risk categories traditional IT risk frameworks weren’t built to address, a model can fail silently, produce biased outcomes, or be manipulated through inputs alone, without any conventional security control being breached.
A Practical Example
Before deploying an AI-powered resume screening tool, an organization runs a risk assessment evaluating whether the model’s training data could produce biased outcomes against protected groups, not just whether the system is technically secure.
Related Terms
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