Veeam Software has launched its Veeam DataAI Command Platform positioning the release as a new trust infrastructure category designed for the agentic era.
The company says the platform addresses a gap in the AI stack: while the infrastructure to deploy AI already exists, enterprises still lack a unified mechanism to secure and govern the data that autonomous agents must access at machine speed.
The platform is built from Veeam’s two core strengths—data resilience and data security—combined through its acquisition of Securiti AI.
Veeam claims the resulting offering merges data and AI security posture management, identity intelligence, and resilience confidence into a single connected layer for “Data, Access, Identities, and AI”.
“The infrastructure to deploy AI exists. The infrastructure to trust it doesn’t. With the DataAI Command Platform, Veeam is building the missing layer combining resilience, security, governance, compliance and privacy, in one platform,” said Anand Eswaran, CEO at Veeam.
He added that the security perimeter must effectively shift to the data itself, because that is where control is needed when agents request access.
Veeam frames the challenge as an acceleration problem: autonomous AI agents are said to outnumber human employees 82:1, with 97% of agents carrying excessive privileges.
According to the company, the speed and volume of agent activity compress the detection and response window—making agentic AI “the number one cyber threat”.
The DataAI Command Platform aims to converge live and backup contexts across an organisation’s estate. It features six integrated capabilities, anchored by a DataAI Command Graph that uses 300+ connectors to map sensitive data at file level, track access by identity, and associate risk conditions with the exact change that triggered them—while spanning both production and backup systems simultaneously.
Additional pillars include data-first governance to prevent sanctioned and rogue agents alike from accessing sensitive information; compliance mapping across more than 100 regulatory frameworks such as the EU AI Act, DORA, GDPR, HIPAA, NIST and AI RMF; and privacy enforcement via automated policies using a People Data Graph to unify personal data across hybrid multicloud environments.
On resilience, Veeam highlights “surgical” recovery enabled by granular data understanding, alongside a preview of initial offerings: Veeam Intelligence ResOps for M365 and a DataAI Resilience Module for existing Veeam Data Platform customers.
