Mitigate AI risk with the NIST AI Risk Management Framework
Showcase responsible AI practices with the NIST AI RMF, designed to help you govern, assess, and manage AI risk. Vanta helps you align quickly with built-in policies, risk workflows, and automated controls.
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One place to manage AI risk
Vanta gives you one dashboard to manage NIST AI RMF implementation—from mapped controls to AI risk registers, evidence, and document templates. Track progress, assign ownership, and report confidently to stakeholders.
Automate evidence and continuous compliance
With [integrations_count] integrations, Vanta pulls real-time evidence, monitors controls, and helps automate security workflows like AI risk reviews and policy updates, so you stay compliant without slowing down engineering.
Guided customization for your AI program
Vanta helps you tailor NIST AI RMF to your use cases. Disable irrelevant risk scenarios, scope systems and people, and adapt pre-built AI policies and documents to your business—then use our Trust Center to share proof.
Centralized AI management
Track all NIST AI RMF requirements and map evidence to demonstrate appropriate controls—all in one place.
Real-time progress
Track implementation status, policy completion, risk resolution, and audit readiness in Vanta.
AI-specific risk workflows
Use pre-built AI risk scenarios, assign owners, link controls, and manage SLAs across systems.
Trust Center
Generate reports, badge your Trust Center, and share policies, risk registers, and readiness artifacts during diligence.
AI powered compliance
Vanta AI helps you work smarter with automated control mapping, policy summaries, SLA remediation, a chatbot, and more.
Issue management
Ensure learning and continual improvement while addressing nonconformities and corrective actions.
Learn more about NIST AI RMF
NIST AI RMF: Everything you need to know
Learn what the NIST AI RMF is and why you should implement it. Discover the framework’s key principles and functions alongside actionable implementation tips.
5 key differences between the NIST AI RMF and ISO 42001
Use our NIST AI RMF vs. ISO 42001 guide to capture the main differences between the two frameworks in the AI space.
Understanding AI governance: Why most organizations feel overwhelmed by regulations
Learn why 54% feel overwhelmed by AI regulations and how leading firms are addressing this.
FAQ
You can move quickly with pre-built policies, a guided gap assessment, and a downloadable report. Publish a Trust Center badge to show proof while you operationalize deeper controls.
Vanta automates evidence collection, policy mapping, SLA monitoring, and AI-specific risk workflows. AI systems are tracked as assets, and control coverage is visualized across your environment.
NIST AI RMF gives you risk-based foundations. ISO 42001 offers a certifiable AI management system. Vanta helps you manage both, reuse work, and prepare for regulatory requirements like the EU AI Act.
Yes. You can define risk scenarios, assign owners, link controls, and monitor risk status across the RMF lifecycle (Govern, Map, Measure, Manage). Report coverage and status anytime.
Yes. Use Vanta to export your gap assessment, AI policies, and risk registers. Share them via Trust Center and respond faster with AI-powered questionnaire automation (QAuto).
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