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DATA & AI TRUST MATURITY MODEL

AI is Moving Fast –
is Your Data Ready?

AI is scaling faster than most data foundations.
Veeam Data & AI Trust Maturity Model helps you assess
readiness, close gaps, and deploy AI with confidence.
Quick pulse
Executive Summary

WHY DOES MATURITY MATTER

Your AI Readiness, Made Actionable

Whether you’re getting ready to deploy AI or strengthening the data foundation behind it, success takes more than tools. Veeam Data and AI Trust Maturity Model starts with real outcomes, then helps you spot gaps, align teams, and prioritize the investments that matter. 

Expose Hidden Gaps in Your Data and AI Foundation 

Uncover blind spots in governance, security, and readiness before they disrupt operations, increase risk, or damage customer trust.

Align Data and AI Investments to Business and Compliance Goals

Connect priorities to outcomes. Use peer benchmarking to support ROI, meet requirements, and earn executive buy-in.

Accelerate AI Readiness with a Prescriptive Roadmap

Prioritize the fixes that matter most. Close critical gaps, reduce risk, and move AI initiatives forward with clear next steps.

AI Readiness Reality

Our survey of 300+ security leaders makes one thing clear: most organizations still need help getting AI-ready. Do you?

  • Confidence is High

    80%

    are confident they can scale AI safely

  • Setbacks Happen

    52%

    scaled back AI initiatives due to challenges

  • Gaps are Showing

    68%

    are not fully prepared for AI audits

  • Execution is Barrier

    43%

    cite talent, not budget, as a main barrier

Source:  Data & AI Trust Maturity: Finding Your Path to Safe AI At Scale

Data & AI Trust Maturity Model

Built for Real-World AI Readiness 

Co-developed and validated by industry experts, the Data & AI Trust Maturity Model uses real enterprise data and proven patterns to benchmark progress and turn insights into action. 
Five-stage AI readiness maturity model, from Level 1 Reactive to Level 5 Self-Optimizing

What Makes Veeam’s Maturity Model Different

Rooted in What Works in Practice

Built on proven patterns from top-performing organizations, the model focuses on measurable impact, not vendor hype or one-size-fits-all advice.

Built for Real-World Complexity

Designed for hybrid, legacy, and multi-vendor environments, where establishing data and AI trust is hardest, and gaps are easiest to miss.

Broad, Cross-Industry Perspective

Informed by insights across financial services, healthcare, technology, manufacturing, and the public sector, so benchmarks stay relevant to your reality.

See Where You Stand

Get an instant read on your data and AI maturity
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Accelerate Safe AI

Who This Model is Built For

Whether you’re navigating compliance, managing AI risk, or pressure-testing your data foundation, this model helps IT and security leaders benchmark readiness, align stakeholders, and make smarter data and AI investment decisions.

Teams Managing Risk in Regulated, Complex  Environments

Under strict compliance with little room for error? Benchmark trust, pinpoint gaps, and reduce exposure across your data foundation.

Leaders Rethinking or Evolving Their Data and AI Strategy 

Not sure what’s working or what’s  missing? Get clarity and a structured path to turn insights into action and improve readiness.

Orgs That Feel Siloed, Scattered, or Stretched Too Thin

When roles, tools, and priorities don’t align, refocus on outcomes, build accountability, and prioritize what matters most.
Get a deeper dive

What Outcome-Driven Actually Looks Like

Results are measurable when organizations uncover gaps and act on them. The Data & AI Trust Maturity Model gives you a framework to drive similar outcomes across your data and AI foundation.
Healthcare professional reviewing patient data on a tablet
Lowered Risk, Greater Coverage
A regional healthcare system reduced cyber and compliance risk by increasing backup coverage 25% year over year.
Financial services team reviewing performance charts and reports
$500K Saved Through Faster Recovery
A financial services firm cut MTTR by 20% and reduced manual recovery effort, saving time, cost, and operational strain.
IT professional working on code, representing modernized backup operations
From Backup to the Bigger Picture
A global retail company reassigned 15 IT pros from manual backup work to strategic projects by modernizing recovery.

Resources

Latest Insights on Data and AI Trust

Get the latest research and practical guidance to build data and AI trust and accelerate AI readiness 
Data Trust and Resilience Report cover

Data Trust and Resilience Report

Achieve higher data trust and faster recovery with insights you can act on.
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FAQs

What is the Data & AI Trust Maturity Model?
The Data & AI Trust Maturity Model is a framework that helps organizations assess how ready their data, governance, security, and operating model are for trusted AI. It helps identify gaps, benchmark maturity, and prioritize improvements that reduce risk and support safer AI adoption.
 How do I know if my organization is ready for AI?
If you’re unsure whether your data foundation, governance, and controls can support AI safely at scale, this assessment helps you find out. It shows where you’re strong, where gaps exist, and what to improve before expanding AI use.
How does the Data & AI Trust maturity assessment work and what do I receive?
You complete a structured assessment across key areas such as governance, security, resilience, and AI readiness. You receive a tailored report with your maturity results, peer benchmarking, identified gaps, and prioritized recommendations.
 Is my assessment data confidential?
Yes. Assessment responses and results should be treated as confidential and shared only with the appropriate participants involved in your engagement, unless you approve broader sharing. You retain visibility into your findings and recommendations.
 How is my Data & AI Trust Maturity Model score calculated?
Your score is based on your responses across the model’s dimensions and compared against benchmark data and defined maturity criteria. Recommendations are then prioritized based on the gaps with the greatest impact on risk, trust, and AI readiness.
Can I benchmark my AI readiness against peers in my industry?
Yes. The assessment is designed to help you compare your maturity with relevant peer organizations, including by industry and operational complexity where applicable. That context helps you focus on the improvements most relevant to your environment.
Who should be involved in a Data & AI Trust Maturity Model assessment?
The best assessments include cross-functional leaders from IT, security, data, compliance, risk, and business operations. In many organizations, CIOs, CISOs, CDOs, and AI or data governance leaders should all contribute.
 Does the model help with AI governance, compliance, and risk reduction?
Yes. The model helps identify gaps in governance, controls, resilience, and oversight that can affect AI trust, regulatory readiness, and operational risk. It can also support conversations around frameworks and regulations such as NIST CSF and the EU AI Act, if those mappings are part of your program.
 How do I get started with a Data & AI Trust Maturity Model assessment?
The easiest next step is to request an assessment or speak with your Veeam contact. From there, Veeam can guide you through the process and help you review results, gaps, and recommended next actions.

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