Unified AI-Powered Data Protection and Recovery with Veeam Agent Commander

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Unified AI Risk Management: Veeam Unveils Agent Commander

Veeam Software has introduced Agent Commander, a comprehensive solution designed to help organizations proactively address AI-driven risks and securely scale AI adoption. This new offering integrates the capabilities of Veeam’s data resilience platform with those of Securiti AI, a company recently acquired by Veeam.

Key Features of Agent Commander

Agent Commander provides organizations with real-time visibility into their AI environment, enabling them to detect hidden risks, protect sensitive data, and instantly undo AI agent mistakes. This unified platform converges data resilience, data security, and AI risk management into a single operational system, delivering contextual visibility, policy-level enforcement, and surgical recovery.

According to Anand Eswaran, CEO of Veeam, “AI operates at machine speed, making it essential for organizations to understand what data is being used, by what agent, and how, in real-time. With Agent Commander, organizations can detect, protect, and, when necessary, undo AI actions with speed and precision.”

The need for a unified control plane in AI infrastructure is becoming increasingly pressing, as AI agents scale and data risk and AI risk converge. Enterprise controls remain fragmented, with separate systems for protection, security, governance, and recovery, leaving sensitive data vulnerable to unauthorized access and action.

Addressing the Gap

Agent Commander addresses this gap by providing a unified control plane that delivers contextual visibility, policy-level enforcement, and surgical recovery. This platform gives organizations the ability to detect AI risk with context, protect AI pipelines autonomously, and undo AI mistakes with precision.

Core Technology

At the core of Agent Commander is Veeam’s Data Command Graph, a real-time relational intelligence engine that maps live connections between data, identities, AI models, and autonomous agents across production and backup environments. This engine enables organizations to identify toxic combinations of compromised identities, exposed data, and autonomous agents, and understand how these risks compound, cascade, and evolve in real-time.

Rehan Jalil, President of Products Technology at Veeam, notes that “controlling AI risk is effectively impossible in siloed environments or without deep contextual intelligence across data, permissions, and autonomous agents. Agent Commander unifies control across production and backup to detect toxic combinations, enforce granular policy, and precisely reverse AI-driven actions.”

According to Todd Thiemann, Principal Analyst at Omdia, “Veeam’s announcement provides a clear roadmap for integrating capabilities and delivering enhanced solutions to organizations securing their data and AI estates. The focus on Agent Commander demonstrates Veeam’s commitment to provide both operational efficiency and comprehensive security for AI agents.”

By converging relational AI intelligence with proven resilience infrastructure, Agent Commander establishes a new standard for trusted, recoverable AI at scale. As AI becomes operational infrastructure, enterprises can no longer treat data protection, data and AI security, privacy, and governance as separate disciplines.