Agent Commander has been announced by Veeam Software, the Data and AI Trust Company, as a unified solution designed to help organizations detect AI risk, protect AI systems, and undo AI mistakes. The platform aims to enable enterprises to proactively address AI-driven risks and securely scale AI agents across environments.

The announcement marks the first integration following Veeam’s acquisition of Securiti AI. Agent Commander combines the capabilities of both companies to provide visibility, control, and protection across an organization’s entire data and AI estate. It also introduces the ability to undo AI mistakes with precision. The solution will be available in a future release of the Securiti Data Command Center. It brings together data resilience and data security into one unified platform.

According to Anand Eswaran, CEO of Veeam, AI operates at machine speed. Therefore, organizations must understand in real time what data is being used, by which agent, and how. He stated that if an error occurs, organizations need to know what data was impacted and must be able to undo damage rapidly. He added that Agent Commander enables organizations to detect, protect, and undo AI actions with speed and precision, representing the future of data security and resilience through Veeam’s unified platform.

The company highlighted that trust remains a critical gap in AI infrastructure. As AI agents scale, data risk and AI risk increasingly overlap. An AI agent’s trustworthiness depends on the data it can access and act upon. However, enterprise controls are often fragmented. Separate systems manage protection, security, governance, and recovery. None provide unified visibility, granular control, or precision response at AI speed and scale.

Furthermore, sensitive data is being fed into AI models and acted upon without approval or tracking. AI agents can access and act on sensitive data within seconds. In contrast, traditional workflows may take hours to detect issues and days to remediate them. This delay increases exposure.

To close this gap, Veeam described the need for a unified control plane. Such a layer would deliver contextual visibility, policy-level enforcement, and surgical recovery. It would also converge data resilience, data security, and AI risk management into a single operational system.

Agent Commander integrates Veeam’s data resilience platform with Securiti AI’s Data Command Center. As a result, organizations gain visibility into their AI environments. The platform detects hidden risks and Shadow AI. It also provides comprehensive controls to protect data as it moves through AI systems. Notably, Agent Commander can instantly undo AI agent mistakes using precise rollbacks. This allows teams to restore trusted data without reverting entire systems. Consequently, enterprises can detect and fix threats faster while accelerating AI adoption.

At the core of the platform is Veeam’s Data Command Graph™, described as a real-time relational intelligence engine. It maps live connections between data, identities, AI models, and autonomous agents across production and backup environments. Veeam stated that this capability reveals complex risk intersections, including compromised identities, exposed data, and autonomous agents. It also shows how risks compound and evolve across the data and AI estate.

The company emphasized that no standalone AI security or backup solution delivers these combined capabilities. By integrating relational AI intelligence with enterprise-grade resilience, Agent Commander introduces three core functions: contextual AI risk detection, autonomous AI pipeline protection, and precision-based rollback of AI actions.

Rehan Jalil, President of Products & Technology at Veeam, stated that as AI becomes operational infrastructure, enterprises can no longer treat data protection, data security, privacy, and governance as separate disciplines. He said controlling AI risk is nearly impossible in siloed environments without deep contextual intelligence across data, permissions, and autonomous agents. He added that the platform unifies control across production and backup environments to detect toxic combinations, enforce granular policies, and precisely reverse AI-driven actions at enterprise scale.

Todd Thiemann, Principal Analyst for AIM & Data Security at Omdia, noted that acquisitions often raise questions about combined value creation. However, he said Veeam’s announcement provides a clear roadmap for integrating capabilities and delivering enhanced solutions for securing data and AI estates. He added that the focus on Agent Commander demonstrates Veeam’s commitment to operational efficiency and comprehensive AI agent security.

Overall, Veeam positions Agent Commander as a new standard for trusted and recoverable AI at scale, combining AI risk detection, data security, and resilience into a unified platform designed for modern enterprise AI environments.

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