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NIST AI RMF
We combine AI penetration testing with risk governance to operationalize the NIST AI RMF; giving you both regulatory alignment and secure, trustworthy AI systems
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NIST AI RMF
Build trustworthy AI aligned with the NIST AI Risk Management Framework
Whether you’re building, deploying, or integrating AI, GRSee helps you align with the AI RMF; assessing risk, strengthening governance, and providing clarity around the use of AI in your organization.

The NIST AI RMF is a voluntary framework developed by the National Institute of Standards and Technology to help organizations manage risks associated with Artificial Intelligence (AI) systems. It focuses on ensuring AI is responsible, trustworthy, and aligned with ethical, legal, and societal values.
NIST AI RMF Benefits
Identify and Manage AI-Specific Risks
Go beyond traditional cybersecurity controls to address risks unique to AI.
Build Trust with Stakeholders
Demonstrate ethical, secure, and responsible AI practices to regulators, customers, and investors.
Prepare for AI Regulation
Future-proof your organization against emerging laws like the EU AI Act or U.S. federal guidance.
Strengthen Governance of AI Models
Define clear roles, responsibilities, and oversight across your AI development and deployment pipeline
Support Certification & Audit Readiness
Align your AI governance with ISO 42001, SOC2, and other security and compliance frameworks.
Enable Safer, More Effective AI Innovation
Reduce the risk of harm while accelerating the safe deployment of AI technologies.
What sets us apart
We bring together AI governance knowledge with deep cybersecurity and compliance experience
We break down NIST’s guidance into clear actions across data, models, and system behavior.
Already pursuing ISO 42001, SOC2, or NIST CSF? We map overlapping controls to reduce friction.
Service Page Asset
Simplify the Complex.
Deliver with Care.
01.
AI Inventory & Use Case Discovery
We work with your team to map out all AI systems in use. Covering data inputs, models, and decision-making functions.
02
Gap Assessment
We analyze your current posture and identify areas that need improvement to meet the requirements.
03.
Remediation Planning
Our team provides a detailed plan to address gaps, including technical and operational controls.
04.
Risk Analysis & Prioritization
We identify risks related to bias, transparency, robustness, explainability, misuse, and alignment with intended use, and prioritize them by business impact.
05.
Implementation Support
We work with your team to implement necessary controls.
06.
Ongoing Advisory
As part of our Compliance as a Service (CaaS) offering, we support continuous governance, model monitoring, and integration of future regulatory requirements.
Resources
Iftach Shapira • November 19, 2025
What Is the NIST Cybersecurity Standard?
Ben Ben Aderet • August 7, 2025
NIST RMF in Action: A Breakdown of the 7 Key Steps
Ben Ben Aderet • August 7, 2025
What Is NIST 800-53? Understanding Federal Security Controls
Tom Rozen • November 19, 2025
What Is CMMC Certification? A Comprehensive Guide
FAQ
No, the AI RMF is voluntary, but it is quickly becoming a best practice and is referenced in discussions around regulatory readiness and responsible AI.
ISO 42001 is a certifiable AI management system standard. The NIST AI RMF is broader and complimentary, with a focus on risk identification and mitigation. GRSee helps map both.
Most assessments take 3–6 weeks, depending on the number and complexity of AI systems in scope.
Not at all. If you’re building, buying, or deploying AI, especially in sensitive contexts, you’ll benefit from structured risk management.
Contact us
Get in touch and a member of our team will reply within 24h