NIST CSF Compliance for AI/ML Companies | Complete Guide
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Key Compliance Highlights
Five core functions: Identify, Protect, Detect, Respond, Recover
Implementation tiers and maturity assessment
Framework profile development and gap analysis
Supply chain risk management integration
Continuous improvement and metrics tracking
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Frequently Asked Questions
How does NIST CSF apply to AI systems?
NIST CSF covers AI infrastructure and data security. For AI-specific risks, reference the NIST AI Risk Management Framework (AI RMF) alongside CSF for comprehensive coverage.
What AI risks should be in the Identify function?
Include AI-specific assets (models, training data, inference endpoints), AI-related threats (adversarial attacks, data poisoning), and dependencies on AI vendors/frameworks.
How do we address AI in Detect and Respond functions?
Detect includes model performance monitoring, drift detection, and anomaly identification. Respond covers procedures for model failures, bias incidents, and adversarial attack response.
Related Comparisons
Disclaimer: Compliance costs and timelines are estimates based on market benchmarks (AICPA fee surveys, vendor pricing indices 2025). Actual auditor fees and internal effort will vary based on your specific control environment, system complexity, and auditor selection. Consult with a qualified CPA for a formal statement of work.
