Veeam's Data & AI Trust Maturity Model Explained

Name: Veeam's Data & AI Trust Maturity Model Explained
Uploaded: 2026-07-17T17:12:05-04:00
Duration: 1 min 18 s
Description: Veeam CEO Anand Eswaran led a VeeamON keynote packed with insights, including how Veeam's new Data & AI Trust Maturity Model provides guidance on where your organization stands - and where it needs to go - when it comes to protecting and unleashing yo...

Veeam

07/17/2026

0 (0%)

Report Like Favorite

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.

Categories:

» Data Protection » Backup & Recovery
» Data Protection

Tags:

Show more Show less

TL;DR

Summary

Chapters

Key Quotes

FAQ

Illumio + Netskope: Zero Trust in the Age of AI Autonomy

Ask Your Cloud Anything: Unlocking Governance Silos in your Environments

Insights from Attackers During the FIFA World Cup: A HUMAN Dialogue

Becoming Agent Ready: Insights from Cyera's Expertise