Veeam Launches Agent Commander to Help Detect Enterprise AI Risk

Veeam Software has introduced Agent Commander, a new platform designed to help enterprises detect AI risk, protect AI systems, and undo AI mistakes.

The launch marks the first integration stemming from Veeam's acquisition of Securiti AI. Agent Commander combines Veeam's data resilience capabilities with Securiti AI's Data Command Center to provide unified visibility and control across data, identities and AI agents. According to Veeam, the platform is intended to close what it describes as the most critical gap in AI infrastructure: trust.

"AI happens at machine speed, which means organizations must understand what data is being used, by what agent, and how in real time. If an error occurs, organizations not only need to understand what data was impacted, but they also need the ability to undo any damage rapidly," said Anand Eswaran, CEO of Veeam. "With Agent Commander, organizations know what data is powering AI, and it gives them the power to detect, protect, and, when necessary, undo AI actions with speed and precision."

Veeam said enterprise AI controls are currently fragmented across separate protection, security, governance, and recovery systems, leaving gaps in visibility and response at AI's operational speed. Agent Commander is positioned as a unified control plane that converges data resilience, data security, and AI risk management into a single operational system.

3 Core Capabilities

At the core of Agent Commander is Veeam's Data Command Graph, described as a real-time relational intelligence engine that maps connections between data, identities, AI models and autonomous agents across production and backup environments.

Veeam said the platform delivers three primary capabilities:

  • Detect AI Risk with Context — Identify shadow AI, sensitive data exposure, and risky agent behavior, with visibility into downstream impact across systems and environments.
  • Protect AI Pipelines Autonomously — Enforce granular, real-time controls across data, identities, and AI agents, independent of model providers or cloud platforms.
  • Undo AI Mistakes with Precision — Surgically reverse unwanted AI actions using context-aware recovery without reverting entire systems.

Rehan Jalil, president of Products & Technology at Veeam, said unified contextual intelligence is required to manage AI risk. "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. This is the foundation required to operate AI safely at enterprise scale."

The announcement also included commentary from technology research and advisory group Omdia. "Veeam's announcement provides a clear roadmap for integrating capabilities and delivering enhanced solutions to organizations securing their data and AI estates," said Todd Thiemann, principal analyst, AIM & Data Security at Omdia.

Agent Commander will be available in a future release of the Securiti Data Command Center. Organizations can apply for early access at this page. Veeam has also published a supporting video overview and a video of an interactive demo.

For more information, visit the Veeam site.

About the Author

David Ramel is an editor and writer at Converge 360.

Featured

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • abstract illustration of artificial intelligence

    CSU Shares AI Learnings in Systemwide Survey

    In a systemwide survey of more than 94,000 faculty, staff, and students, California State University recently documented widespread AI use across its 22 campuses.

  • data figures moving across a network

    Addressing the Cyber Skills Gap: Retention & Recruitment Secrets from Higher Education

    Institutions are working to ensure the retention and recruitment of top cyber talent by continually investing in professional development, fostering collaborative work environments, and equipping teams with the latest tools available to protect and defend against threats.

  • Abstract speed motion blur in vibrant colors

    3 Ed Tech Shifts that Will Define 2026

    The digital learning landscape is entering a new phase defined by rapid advances in artificial intelligence, rising expectations for the student experience, and increasing pressure to demonstrate quality and accountability in online education.