The NIST AI Risk Management Framework is a voluntary guide for identifying, measuring, and reducing risks from AI systems across the full lifecycle: design, development, deployment, and monitoring. It helps organizations think beyond model accuracy and ask whether an AI system is secure, fair, reliable, explainable, and fit for purpose.
In cyber security, AI RMF matters because AI can be abused for phishing, malware generation, deepfakes, data leakage, or unsafe automated decisions. Defenders use the framework to set controls for data quality, access control, testing, red-teaming, human oversight, logging, and incident response. It is often paired with security governance so teams can prove how AI is trained, validated, monitored, and updated when risks change.