Veeam launches DataAI Command Platform for the agentic era
Briefly

Veeam launches DataAI Command Platform for the agentic era
"“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.”"
"“Autonomous AI agents have become indispensable in large organizations, but they also come with risks. According to Veeam, AI agents now outnumber human employees by a ratio of 82 to 1. 97 percent of these agents reportedly have more privileges than necessary. As a result, the window for detecting and responding to threats is shrinking.”"
"“The DataAI Command Platform brings together data, access, identities, and AI into a single connected trust layer. Six integrated capabilities are central: DataAI Command Graph, DataAI Security, DataAI Governance, DataAI Compliance, DataAI Privacy, and DataAI Precision Resilience.”"
"“The DataAI Command Graph forms the intelligence backbone. With over 300 connectors to cloud, SaaS, and on-premises environments, the graph provides a detailed view of the data estate. This goes beyond simply identifying which databases exist; it also reveals which specific files contain sensitive data, who has access to them, and which changes have created a risk condition. The graph covers both live systems and backup environments simultaneously.”"
Autonomous AI agents are increasingly used in large organizations, creating security and privilege risks as agents outnumber humans and often have excessive permissions. The DataAI Command Platform introduces a new infrastructure category for the agentic era by combining data resilience, security, governance, compliance, and privacy into a single trust layer. The platform is built from Veeam’s Securiti AI acquisition and integrates capabilities for intelligence, protection, policy control, regulatory alignment, privacy management, and resilience. A central DataAI Command Graph provides a connected view of the data estate across cloud, SaaS, and on-premises systems, identifying sensitive files, access relationships, and risk conditions created by changes, while covering both live and backup environments.
Read at Techzine Global
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