NIST AI RMF Assessment
An evaluation of how your organization governs, maps, measures and manages AI risk, benchmarked against the NIST AI Risk Management Framework.
A Common Language for AI Risk
The NIST AI Risk Management Framework (AI RMF 1.0) has become a widely used reference for managing AI risk in the United States and beyond. It is voluntary, but customers, partners, regulators and federal agencies increasingly expect organizations to show how their AI practices align with it. NIST has also published a Generative AI Profile (NIST AI 600-1) that applies the framework to the specific risks of generative AI.
The White Knight Labs NIST AI RMF Assessment measures your current practices against the framework, identifies where you are strong and where you are exposed, and produces a practical roadmap to reach your target profile.
The Four Functions We Assess
Govern
Policies, accountability, roles, culture, workforce skills and processes for managing AI risk across the organization, including third-party AI.
Map
How you establish context for each AI system: its purpose, users, potential impacts, data sources, dependencies and the risks it introduces.
Measure
How AI risks are analyzed, tested and tracked, including performance, robustness, security, bias, privacy and explainability evaluations.
Manage
How identified risks are prioritized, treated, monitored and communicated, including incident response and decommissioning of AI systems.
Where Testing Meets Governance
Many AI RMF assessments stop at document review. Because White Knight Labs is an offensive security firm, we can go further. Where the Measure function calls for security and robustness testing, we can validate your claims with targeted adversarial testing of AI systems in scope, so your assessment reflects how the systems actually behave rather than how policies say they should.
Our Approach
We work through interviews, document review and system walkthroughs, focusing on a representative set of AI systems. Each subcategory of the framework is rated for current maturity, and we work with you to define a target profile based on your risk appetite, regulatory exposure and business goals. For organizations using generative AI, we incorporate the actions from the Generative AI Profile. Where you also plan to pursue ISO/IEC 42001, we map findings across both frameworks to avoid duplicate work.
Engagement Process
Scoping
We agree on the AI systems, business units and framework profile in scope.
Current State Assessment
We interview stakeholders, review documentation and walk through selected AI systems.
Optional Technical Validation
We test security and robustness controls on selected systems to support Measure function ratings.
Target Profile and Gap Analysis
We define your target profile and document gaps between current and target states.
Roadmap and Readout
We deliver a prioritized roadmap and brief leadership on findings.
What You Receive
Current and target NIST AI RMF profiles
Maturity ratings by function, category and subcategory
Gap analysis with prioritized recommendations
Crosswalk to ISO/IEC 42001 and other relevant frameworks
Executive summary suitable for leadership, boards and customers
Sleep better at night
RISK REDUCTION
Our risk reduction strategy melds unparalleled technical acumen with a client-focused approach to deliver targeted, cost-effective, and accessible solutions that fortify your organization against the ever- evolving cyber threat landscape.
BUSINESS INTEGRITY
We leverage our cybersecurity expertise to safeguard your business integrity, ensuring you operate securely, move forward confidently, and build trust in an interconnected digital world.
DATA PROTECTION
We deploy cutting-edge cybersecurity measures and personalized strategies to offer unwavering data protection, reinforcing our commitment to preserving your company’s invaluable digital assets.
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