NIST is reshaping how your team should approach AI cybersecurity. Instead of introducing a new control framework for AI systems, NIST will create use-case-specific overlays based on NIST SP 800-53. This approach offers a practical path forward, allowing you to enhance existing controls without starting from scratch.
This strategy was outlined at NIST's April 3, 2025, Cybersecurity and AI Profile Workshop. The key takeaway: organizations don't need to reinvent cybersecurity controls for AI. They need guidance on where AI introduces unique risks that existing controls don't cover.
NIST's New Approach
NIST announced three key initiatives:
Community Profiles for AI. These profiles will map AI-specific risks to the NIST Cybersecurity Framework and AI Risk Management Framework. They serve as alignment tools to identify which framework categories apply to AI adoption, AI-enabled attacks, and AI system protection.
Control overlays based on SP 800-53. These overlays will provide detailed implementation guidance. Each overlay will be tailored to specific AI use cases, such as developing generative AI models or deploying third-party AI tools.
Community of Interest for ongoing input. NIST will establish a Community of Interest (COI) to gather feedback as overlays evolve, ensuring the guidance remains relevant to those implementing these controls.
Key Insights
AI security is largely software security. Many controls for AI systems are the same as those for any software. Your existing configuration management, access controls, and vulnerability scanning practices still apply. The overlays will focus on controls that need unique implementation for AI-specific risks, keeping guidance actionable.
Use-case specificity is essential. A single AI overlay won't suffice because AI deployment varies widely. Organizations developing large language models face different risks than those using AI for fraud detection. NIST's modular approach lets you select the overlay that matches your AI footprint.
Building on existing foundations. NIST is leveraging three existing publications: SP 800-53, SP 800-218A (secure software development for generative AI), and AI-100-2e2025 (adversarial machine learning taxonomy). If your team uses SP 800-53 for FedRAMP, FISMA, or other compliance programs, you're not starting from zero.
Stakeholder-driven direction. The decision to create implementation guidelines alongside Community Profiles was driven by demand. Organizations told NIST they needed specific control statements they could test and audit.
Implications for Your Team
If you're using NIST SP 800-53, you'll extend your existing control set rather than implement a separate AI framework. This streamlines audits, allowing your team to evaluate AI controls using the same procedures as other SP 800-53 controls. Your GRC platform can track AI-specific control implementations alongside your broader control portfolio.
If you're not using SP 800-53, these overlays still offer a structured approach to AI risk. The control catalog format can be mapped to ISO 27001, SOC 2, or your custom control framework.
The use-case focus changes your scoping exercise. Instead of asking "How do we secure AI?", you'll ask "Which AI use cases apply to us?" and select the corresponding overlay. An organization using vendor-provided AI tools needs a narrower control set than one training proprietary models.
Action Plan
Immediate: Inventory your AI use cases. Before overlays are released, categorize your AI footprint. Identify AI systems you develop and those you consume. Determine which business processes use AI and what data flows through these systems.
Within 30 days: Review SP 800-218A. If you're developing AI, especially generative AI, read NIST SP 800-218A. Map its practices to your current SDLC controls to identify gaps.
Within 60 days: Assess your SP 800-53 maturity. Familiarize yourself with SP 800-53. Review control families likely to need AI-specific tailoring: System and Information Integrity (SI), System and Services Acquisition (SA), and Risk Assessment (RA).
Within 90 days: Join the Community of Interest. When NIST launches the COI for AI Control Overlays, participate. This will influence which use cases get priority and how overlays address emerging threats.
Ongoing: Monitor adversarial ML developments. NIST AI-100-2e2025 provides a taxonomy of AI-centric attacks. As new threats emerge, this taxonomy will expand. Assign someone to track updates and assess their relevance to your AI systems.
Before overlay publication: Map existing controls to AI systems. Don't wait for official guidance. Use your current SP 800-53 control set to document which controls apply to each AI system and which need modification.
By following this plan, your team will be prepared to integrate AI-specific controls efficiently and effectively.
