Introduction Understanding AI Compliance in 2025
As artificial intelligence adoption grows regulators are implementing new frameworks to ensure AI systems are ethical transparent and safe The EU AI Act and the NIST AI Risk Management Framework RMF are two of the most important AI compliance frameworks in 2025.
Businesses using AI must navigate these regulations to ensure compliance avoid fines and reduce risks This guide will provide
- A comparison of the EU AI Act and NIST AI RMF
- Key compliance requirements under each framework
- A downloadable AI compliance roadmap
What is the EU AI Act
The EU AI Act is the first comprehensive AI law globally It classifies AI systems into four risk categories
- Unacceptable Risk AI applications that pose significant harm such as social scoring are banned
- High Risk AI in areas like finance healthcare and law enforcement must meet strict transparency and security requirements
- Limited Risk AI such as chatbots must provide disclosures to users
- Minimal Risk AI applications like spam filters have few restrictions
Key Compliance Requirements Under the EU AI Act
- Transparency AI decisions must be explainable and auditable
- Data Governance AI models must use high quality training data to reduce bias
- Human Oversight AI should not make critical decisions without human supervision
- Robust Risk Management Companies must assess and mitigate AI risks continuously
What is NIST AI RMF
The NIST AI Risk Management Framework
RMF is a voluntary framework developed by the US National Institute of Standards and Technology It helps organizations manage AI risks and build trustworthy AI systems.
Unlike the EU AI Act NIST AI RMF does not impose legal obligations but provides best practices for AI development and deployment
Key Compliance Guidelines Under NIST AI RMF
- Governance Organizations should define clear AI policies and responsibilities
- Map AI Risks Companies must identify and assess AI risks before deployment
- Measure AI Performance AI models should be tested for fairness bias and security risks
- Manage AI Risks Implement controls to reduce AI system vulnerabilities
EU AI Act vs NIST AI RMF Key Differences Feature

Which Framework Should Your Business Follow
If your company operates in the European Union or sells AI products to EU customers you must comply with the EU AI Act
If your business operates in the United States or other nonEU regions NIST AI RMF serves as a best practice framework to manage AI risks
How to Build a Compliant AI Governance Strategy
1 Identify AI Risks
- Conduct an AI risk assessment to classify models under the EU AI Act
- Use NIST AI RMF to evaluate AI security and ethical risks
2 Implement AI Transparency Measures
- Ensure AI decisions are explainable
- Maintain documentation of AI model development and deployment
3 Adopt a Risk Management Framework
- Establish continuous AI risk monitoring
- Conduct regular audits for compliance with regulations
4 Train Employees on AI Compliance
- Educate teams on AI governance policies
- Develop guidelines for responsible AI use
Download Your AI Compliance Roadmap
Navigating AI regulations can be complex but having a clear compliance strategy ensures your business is prepared
📩 Download our AI Compliance Roadmap to align with the EU AI Act and NIST AI RMF