The Data & AI Trust Maturity Model is a business-aligned framework that helps organizations evaluate and improve the practices that make data and AI trustworthy. It gives teams a consistent way to assess where controls exist, where they break down, and what to fix first. With benchmarks informed by 300+ IT and security leaders in major industries across the globe, the model helps organizations compare maturity against relevant peers.
Get a blueprint for success.
- Trust readiness: Pinpoints where governance, access, and operational controls are inconsistent, so you can close gaps before they create risk.
- Measurable progress: Provides a structured way to benchmark maturity and show improvement over time with metrics leaders can act on.
- Compliance confidence: Helps teams strengthen evidence and oversight to support evolving requirements across privacy, security, and AI governance.
Designed for Organizations Ready to Assess Their Data and AI Maturity
For enterprise IT, security, risk, and data leaders, the Data & AI Trust Maturity assessment identifies critical gaps across data resilience, governance, security, and AI readiness, and guides smarter investments. It benchmarks capabilities against industry peers and provides clear, prioritized actions to reduce risk and accelerate safe, responsible AI without compromising recoverability or compliance.
Are you facing any of these challenges?
- Run mission-critical, distributed environments where data and AI decisions carry material risk
- Operate in regulated or risk-sensitive industries with heightened requirements for governance, oversight, and accountability
- Need stronger assurance in the resilience, integrity, and recoverability of your data and AI systems
- Are modernizing data protection, cyber resilience, AI governance, or continuity strategies
- Want to simplify fragmented solutions and build an integrated foundation for trusted data and AI