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NIST CSF 2.0 and the AI RMF: How the Cyber AI Profile Brings Them Together

NIST CSF 2.0 now links to the AI RMF through the Cyber AI Profile. How CISOs can run one program for cybersecurity and AI governance.

NIST CSF 2.0 is converging with the AI Risk Management Framework, and CISOs need a single compliance approach that covers both. In December 2025, NIST released a preliminary draft of the Cyber AI Profile. In short, it applies the six CSF functions (Govern, Identify, Protect, Detect, Respond and Recover) directly to AI-specific risks. The Govern function added in NIST CSF 2.0 also turns cybersecurity into a strategic discipline with clear board-level accountability. Yet this arrives alongside framework sprawl, as organizations also deal with the EU AI Act, NIS2, DORA, ISO 42001 and sector rules. This guide explains why the convergence matters, what the Cyber AI Profile asks for and how CISOs can build one integrated compliance program.

6
Core Functions in NIST CSF 2.0 Including New Govern
3
Focus Areas in the Cyber AI Profile
106
Subcategories Across All CSF 2.0 Functions

What Changed in NIST CSF 2.0 and Why It Matters

NIST CSF 2.0 is the first major revision of the Cybersecurity Framework since it was created in 2014. It changes cybersecurity governance in three ways that CISOs need to act on.

First, the new Govern function makes cybersecurity strategy, risk ownership and executive accountability explicit. By contrast, in version 1.1, governance sat inside the Identify function without a clear structure. Now, however, Govern sits at the center of the framework and shapes how every other function is carried out. So CISOs are expected to show how security decisions link to enterprise strategy and board oversight, not just which controls exist.

Second, the scope widened from critical infrastructure operators to every organization, whatever its size, sector or maturity. As a result, organizations that once saw the framework as optional now feel pressure to adopt it, because customers and cyber insurers increasingly use it as a baseline. Third, the subcategories were reorganized from 108 to 106, with overlapping outcomes merged and wording focused on measurable results instead of prescribed controls.

The Six Core Functions of NIST CSF 2.0

NIST CSF 2.0 organizes cybersecurity outcomes across six functions. Govern sets strategy, policy, oversight and supply chain risk management. Identify works out which assets, data and systems need protection, and Protect puts safeguards around them. Detect spots cybersecurity events and anomalies, Respond acts on detected incidents and Recover restores operations afterwards. Also, the six functions run together as a continuous process, not a step-by-step checklist.

How the Cyber AI Profile Bridges NIST CSF 2.0 and AI RMF

The Cyber AI Profile, released in draft in December 2025, connects NIST CSF 2.0 with the AI Risk Management Framework. So organizations can manage AI-related cybersecurity risk without building a separate compliance program.

Secure: Protecting AI Systems
The Secure focus area covers risks to AI systems themselves, from model manipulation and data poisoning to unauthorized access to training data and attacks on inference endpoints. Organizations therefore need inventories of models, agents, APIs, datasets and embedded AI features.
Defend: Using AI for Cyber Defense
The Defend area looks at how AI can improve cybersecurity, for example through better threat detection, zero trust modeling, predictive analysis of threat actors and adversarial simulation. AI can also strengthen security governance and incident response.
Thwart: Defending Against AI-Enabled Attacks
The Thwart area builds resilience against new AI-enabled attacks by studying how adversaries use AI. As a result, organizations prepare for deepfakes, AI-generated phishing, automated vulnerability exploitation and agentic attack tools.
Governance Integration Across All Three
The Govern function applies across all three focus areas. Organizations must assign AI risk ownership, align with enterprise risk tolerance and keep executive accountability. So AI governance sits inside existing cybersecurity governance instead of running as a separate program.

The Compliance Convergence CISOs Must Navigate with NIST CSF 2.0

The convergence of NIST CSF 2.0, the AI RMF and the Cyber AI Profile sits within a wider set of overlapping frameworks and regulations that CISOs must manage at the same time.

Framework or Regulation Scope NIST CSF 2.0 Alignment
NIST AI RMF AI trustworthiness: govern, map, measure, manage ✓ Bridged through Cyber AI Profile
ISO 42001 First certifiable AI Management System standard ✓ Complements CSF with lifecycle oversight
EU AI Act Legal requirements for AI ethics, safety, transparency ◐ Maps to CSF outcomes but adds regulatory mandates
NIS2 EU network and information security for critical sectors ✓ Pillars closely aligned with CSF functions
CSA AICM Cloud-specific AI controls: 243 objectives, 18 domains ◐ Operationalizes NIST strategies with specific controls

These frameworks rarely add entirely new requirements. Instead, they expose weaknesses in static, siloed compliance programs and reward continuous oversight, measurable outcomes and executive ownership. Many regulators are also moving from periodic audits toward continuous compliance, so a unified structure matters. CISOs who anchor governance in the framework and extend it through the Cyber AI Profile can build one compliance backbone that maps to many requirements, instead of a separate program for each.

Framework Sprawl Is a Liability

Implementing every framework separately creates overhead that uses resources without reducing risk in proportion. A better approach layers a small set of foundation frameworks anchored in NIST CSF 2.0, extends them with AI governance through the Cyber AI Profile and ISO 42001, and adds regulatory overlays only where a mandate requires extra controls. This layered model cuts duplication while covering cybersecurity, AI governance and regulation together.

Talk to an ExpertJuggling CSF 2.0, the AI RMF and NIS2? Map them into one program with us.

Practical Steps for Integrating NIST CSF 2.0 with AI Governance

For organizations without unlimited compliance resources, the overlap between NIST CSF 2.0 and the AI RMF can be handled with a focused approach that starts small and scales. Begin where the two frameworks meet in their Govern functions, because both set organizational accountability, risk ownership and policies that link security operations to business strategy.

Start With These Actions
Form a cross-functional committee covering security, legal, governance, and engineering
Build AI inventories covering models, agents, APIs, datasets, and embedded integrations
Map end-to-end AI data flows to support boundary enforcement and anomaly detection
Establish policies governing how employees use and interact with AI systems
Avoid These Common Mistakes
Treating AI governance as separate from cybersecurity governance programs
Implementing frameworks in isolation without mapping controls across standards
Relying on static annual audits when regulators demand continuous compliance
Delegating AI risk entirely to technology teams without executive ownership

Five Priorities for NIST CSF 2.0 Compliance in 2026

Based on the framework updates and the regulatory picture, here are five priorities for CISOs building an integrated program around NIST CSF 2.0:

  1. Build out the Govern function first: Formal governance is the main gap for many organizations, so audit current practices and map them to the six Govern categories. That establishes executive accountability.
  2. Fold the Cyber AI Profile into your existing CSF program: The profile applies CSF structure to AI risk, so extend your current program instead of creating a parallel one for AI. AI governance then runs through existing processes.
  3. Create full AI asset inventories: The profile calls for inventories of models, agents, APIs and datasets, so start cataloging every AI system. Then map data flows to see where exposure sits.
  4. Use NIST CSF 2.0 as the backbone for multi-framework compliance: NIS2, DORA and ISO 42001 map to CSF outcomes, so build one integrated program instead of separate silos. That reduces duplication while meeting several mandates.
  5. Move from periodic audits to continuous compliance: Regulators are moving toward continuous oversight, so invest in automated control monitoring. You then stay ahead of expectations instead of catching up.

The Bottom Line

Key Takeaway NIST CSF 2.0 and the AI RMF are converging through the Cyber AI Profile, which gives one framework for cybersecurity and AI risk. The new Govern function makes cybersecurity a board-level discipline. The Cyber AI Profile applies CSF structure across three focus areas: secure AI systems, defend with AI and thwart AI-enabled attacks. CISOs who anchor governance in CSF 2.0 and extend it through the profile can build one compliance backbone that maps to NIS2, the EU AI Act, ISO 42001 and sector rules, which cuts framework sprawl.

NIST CSF 2.0 five-point checklist: build the Govern function, fold in the Cyber AI Profile, inventory AI systems, map frameworks to CSF, move to continuous compliance
A five-point NIST CSF 2.0 checklist for programs that cover AI.

Looking Ahead: NIST CSF 2.0 and AI Governance Beyond 2026

The framework is likely to become the common anchor for cybersecurity and AI governance as regulations converge. The AI RMF is also being revised under the US AI Action Plan, and later versions may align more closely with CSF structure. Meanwhile, continuous compliance is replacing static audits, so integrating frameworks becomes a practical necessity.

The pace of AI change, however, will keep testing governance frameworks. Organizations with adaptable, layered compliance designs will handle regulatory change better than those locked into a single rigid framework. The CISOs who succeed will treat frameworks as connected tools for making decisions, not as obligations to tick off.

For compliance and risk leaders, the framework is the foundation for every other governance requirement. Its outcome-based, sector-neutral design suits programs that must span cybersecurity, AI governance, privacy and operational resilience across many jurisdictions, as AI rules keep growing in scope.

Our SolutionCybersecurity Risk Assessment and Security Posture Management


Frequently Asked Questions

Frequently Asked Questions
What is NIST CSF 2.0?
NIST CSF 2.0 is the first major revision of the Cybersecurity Framework since 2014. Published in February 2024, it adds a sixth function, Govern, widens the scope to all organizations and reorganizes 106 subcategories across six core functions: Govern, Identify, Protect, Detect, Respond and Recover.
What is the NIST Cyber AI Profile?
The Cyber AI Profile (NIST IR 8596) connects CSF 2.0 with the AI Risk Management Framework. Released as a preliminary draft in December 2025, it applies CSF structure to AI-specific risks across three focus areas: Secure (protecting AI systems), Defend (using AI for cyber defense) and Thwart (defending against AI-enabled attacks).
How do NIST CSF 2.0 and AI RMF work together?
They meet most clearly in their Govern functions. CSF 2.0 sets cybersecurity governance, while the AI RMF builds trustworthy AI through its govern, map, measure and manage functions. The Cyber AI Profile brings them together by applying CSF structure to AI risk, so AI governance can run inside existing cybersecurity programs.
Is NIST CSF 2.0 mandatory?
NIST CSF 2.0 is voluntary. However, customers, cyber insurers and contracts increasingly reference it as the baseline for cybersecurity maturity. NIST has set no mandatory adoption deadline.
How should CISOs handle framework sprawl?
CISOs should anchor governance in NIST CSF 2.0, extend AI accountability through the Cyber AI Profile and ISO 42001, and add regulatory overlays only where a mandate needs extra controls. This layered approach cuts duplication while covering cybersecurity, AI governance and regulation.

References

  1. Cyber AI Profile Draft, Three Focus Areas, CSF 2.0 + AI RMF Integration, AI Inventories: National Law Review — NIST Issues Preliminary Draft of Cyber AI Profile
  2. Framework Convergence, Layered Operating Model, ISO 42001, Regulatory Pressures: CyberSaint — Top Security, Risk, and AI Governance Frameworks for 2026
  3. CSF 2.0 Structure, Six Functions, 106 Subcategories, Govern Function, Implementation: Isora GRC — NIST CSF 2.0 Complete Guide 2026
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