How mature is your AI governance?

Break free from unapproved tools, unclear ownership, and outdated policies. In just 10 minutes, our assessment highlights where your AI governance needs attention. Review 30 practices across five domains to see where you stand and discover your next steps.

Find out how

70%

of organizations have reported shadow AI¹

22%

of organizations have mature governance for agentic AI²

47%

of AI leaders say their organization had bypassed its governance process for AI deployments³

Benchmark your maturity  in 10 minutes

A maturity assessment panel titled 'Your maturity' with progress bars for Access & Data, Agent Security, Workforce, Trust & Reg, and Platform; a green badge labeled 'Managed' is shown at the top right.

Know where you stand

Building a stronger AI governance program starts with a quick 10-minute assessment. Understand the current state of your program’s maturity.

User interface with three rounded rectangular tabs listing AI-related tasks: 'Document AI Use Cases' with a 'Start here' button, 'Inventory AI Tools & Agents' with a 'Build on this' button, and 'Run AI Risk Assessments' with an 'Up next' button.

Turn your score into strategy

Get tailored recommendations that help you prioritize where to focus, strengthen existing practices, and move your program forward.

A dashboard titled Framework alignment showing progress circles for three AI frameworks: EU AI Act with partial progress labeled In progress, ISO 42001 mostly complete labeled Nearly there, and NIST AI RMF with minimal progress labeled Getting started.

Connect your practices to frameworks

Understand how your responses align with ISO 42001, the EU AI Act, and NIST AI RMF. Use these insights to guide your preparation for a formal readiness review.

Take assessment

Meet the minds behind 
the assessment

Developed by Vanta’s security, compliance, and AI governance experts, this assessment turns complex governance practices into practical guidance for your team.

Khush Kashyap

Sr. Director, GRC Subject Matter Expert

Khush works alongside CISO teams to strengthen security governance. A former software engineer, she brings an engineering-first perspective and more than a decade of experience, including leading quantitative risk and security governance teams at PwC and Rubrik. She also hosts The Tabletop, a video podcast dedicated to stress-testing actual corporate incident response plans.

Justin Pagano

Sr. Director, GRC Engineering, Vanta

Justin helps shape Vanta’s approach to AI governance. Previously Director of Security Risk and Trust at Klaviyo, he brings hands-on experience connecting governance, risk, and compliance with security operations. He is also a co-author of the GRC Engineering Manifesto, championing automation and practical, measurable approaches to managing risk as AI adoption accelerates.

About the assessment

The assessment spans five AI governance domains and the NIST AI RMF functions: Govern, Map, Measure, and Manage. Its maturity scale is modeled on CMMI, with alignment assessed against individual requirements of ISO/IEC 42001 and the EU AI Act.

This is a general assessment, not a compliance review.

Results provide an indicative view of 30 common AI governance practices. They do not constitute a compliance assessment, gap analysis, or legal advice, and do not replace a formal readiness review

Sources:

Vanta, Trust Signals: When tokenmaxxing leads to riskmaxxing, April 23, 2026. Based on anonymized data from Vanta’s Third Party Risk Management solution, February 2024–April 2026.
Deloitte, Business and IT leaders report AI agents are scaling faster than their guardrails, April 24, 2026. Findings from the 2026 State of AI in the Enterprise survey of 3,235 business and IT leaders across 24 countries.
EY, AI Risk and Governance Survey, September 15, 2026. Survey of 202 senior AI decision-makers at US publicly traded companies with annual revenue of at least $1 billion.

Benchmark your maturity in 10 minutes