Assess your AI governance against leading frameworks and benchmark maturity against peers. Pinpoint gaps, build an improvement roadmap, and leverage Gartner's actionable guidance to drive progress.
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AI Controls Assessment
AI governance you can discuss with your board
Align to Emerging AI Frameworks & Standards
Evaluate your AI governance readiness against globally recognized frameworks like the NIST AI RMF and ISO/IEC 42001.
Prioritize Controls on your AI Roadmap
Transform identified control gaps into a structured roadmap to prioritize remediation efforts, optimize AI investments, and boost operational reliability. |
Benchmark Your Organization’s Performance
Establish a clear, enterprise-wide baseline to monitor your AI controls maturity over time and compare maturity against peers.
Collaborate with Stakeholders
Confidently communicate your security assurance to senior stakeholders and collaborate on AI governance.
On demand, self-service interface to meet your needs
Establish an enterprise-wide baseline |
Understand the risks that exist currently with AI deployments, and your organizations performance versus peers. |
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Build responsible, trustworthy AI systems with confidence
Self-service assessment
Complete an on-demand assessment to evaluate AI governance readiness against NIST AI RMF and ISO/IEC 42001 standards. |
Measure control effectiveness using Gartner's proprietary three-pronged approach
The Gartner AI Controls Assessment tests for three dimensions of maturity, providing a comprehensive view of program status.
Actionable outputs
Tailored results help you prioritize areas for improvement, and gain best-practice insights to help along your journey.
Benchmark the current state of controls against peers
Pinpoint critical blind spots and control gaps across your AI landscape through maturity and peer benchmark scores.
“Effective AI risk management begins with governance.”
Josh Murphy
Senior Principal Analyst, Cybersecurity
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