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Veeam's Data & AI Trust Maturity Model Explained

Veeam
07/17/2026
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without a map or a roadmap. So we built one in partnership with McKinsey and informed by over 300 CIOs and CISOs. We're announcing the data and AI trust maturity model. Now a lot of you used our data resilience maturity model, which we had launched a couple of years back in a very effective way to create your own roadmaps for effective resilience. In line with Beam's evolution from being a data resilience company to being a data and AI trust company, this is a practical prescriptive roadmap for the path no one has ever walked before. Four pillars, making sure your data is understood, making sure your data is secured, making sure you have the best resilience posture possible, and making sure you have the right approach for unleashing your data for AI. So four pillars, 12 dimensions, 49 sub-dimensions within each of these, and five maturity levels across all capabilities to make sure that your data is going to make sure you are able to be successful in your company's transformation for AI. It shows where you are today, it shows where you need to get to, it shows you the milestones along the way.

TL;DR

  • Veeam launched the Data & AI Trust Maturity Model, co-developed with McKinsey and informed by over 300 CIOs and CISOs, to guide enterprise AI readiness.
  • The framework succeeds Veeam's earlier Data Resilience Maturity Model and signals the company's repositioning as a data and AI trust company.
  • Four pillars — data understanding, security, resilience, and AI enablement — are broken into 12 dimensions, 49 sub-dimensions, and five maturity levels.

Summary

In this VeeamON keynote clip, Veeam CEO Anand Eswaran introduces the Data & AI Trust Maturity Model — a structured framework developed in partnership with McKinsey and informed by input from over 300 CIOs and CISOs. Positioned as the successor to Veeam's earlier Data Resilience Maturity Model, this new framework reflects the company's broader strategic evolution from a data resilience vendor to a self-described data and AI trust company. The model is built around four pillars — data understanding, data security, resilience posture, and AI readiness — and spans 12 dimensions, 49 sub-dimensions, and five maturity levels. Eswaran frames it as a practical, prescriptive roadmap designed to help organizations assess where they stand today, identify where they need to go, and track milestones along the way as they pursue AI-driven transformation. The model is intended to give enterprise leaders a concrete tool for navigating what Veeam characterizes as genuinely uncharted territory in the agentic AI era.

Chapters

0:00 - The Navigation Problem
0:07 - Model Origins & Methodology
0:29 - Four Pillars Explained
0:54 - Maturity Levels & AI Readiness

Key Quotes

0:00 "Because you can't navigate uncharted territory, which we are all in, without a map or a roadmap."
0:07 "So we built one in partnership with McKinsey and informed by over 300 CIOs and CISOs."
0:29 "In line with Beam's evolution from being a data resilience company to being a data and AI trust company, this is a practical prescriptive roadmap for the path no one has ever walked before."
1:12 "It shows where you are today, it shows where you need to get to, it shows you the milestones along the way."

FAQ

What is the Veeam Data & AI Trust Maturity Model?

It is a prescriptive framework co-developed with McKinsey, informed by over 300 CIOs and CISOs, built around four pillars — data understanding, security, resilience, and AI readiness — with 12 dimensions, 49 sub-dimensions, and five maturity levels to help organizations assess and improve their data and AI posture.

How does this differ from Veeam's previous Data Resilience Maturity Model?

The new model expands scope beyond resilience to include AI readiness and data governance, reflecting Veeam's stated evolution from a data resilience company to a data and AI trust company.


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