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Veeam Agent Commander: Innovating a New Category of AI Control Plane
Integration of Securiti AI’s Data Command Center with Veeam’s resilience platform points to the emergence of infrastructure designed to manage, govern, and reverse AI-driven operations.
02/27/2026
Key Highlights
- Veeam Agent Commander establishes a control plane governing AI agents, data, identities, and models across enterprise environments.
- The integration of Securiti AI introduces relational intelligence that maps dependencies between data, permissions, and autonomous systems in real time.
- This architecture enables precise reversal of AI-driven actions, extending resilience from system recovery to operational rollback.
- The announcement reflects the emergence of a new infrastructure category focused on governing AI execution, not simply protecting stored data.
- Veeam’s combination of recovery lineage and data security intelligence positions it to address enterprise requirements for trust, accountability, and operational control as AI moves into production.
The News
Veeam announced Agent Commander, a new solution designed to detect AI risk, protect AI systems, and reverse unintended or unauthorized AI-driven actions. The offering represents the first major product integration following Veeam’s acquisition of Securiti AI, combining Veeam’s data resilience platform with Securiti’s Data Command Center. Agent Commander introduces a relational intelligence capability that provides visibility into how enterprise data, identities, AI models, and agents interact across environments. This enables organizations to monitor AI activity, enforce governance policies, and coordinate recovery when issues occur. For more information, read the company press release here.
Analyst Take
Enterprise infrastructure is entering a phase in which automated AI processes are acting directly on enterprise data. AI agents do not simply retrieve information; they modify records, trigger workflows, and execute decisions across applications and identity domains, often without immediate human oversight.
This introduces a new class of risk. The concern is not only data loss or compromise, but unintended changes made at machine speed that traditional controls were not designed to detect or reverse in context. Backup and security tools protect against failure and breach, but they were not built to trace and correct automated actions unfolding continuously across production environments.
Agent Commander addresses this gap by combining recovery context with real-time data and identity intelligence. The Data Command Graph provides visibility into how AI agents interact with enterprise data, while Veeam’s recovery capabilities enable targeted reversal of specific actions rather than broad restoration of entire workloads.
This combination reflects the early formation of an AI control plane category focused on managing and correcting AI-driven execution. The emphasis is not simply on protecting stored data, but on maintaining accountability and reversibility as automated processes operate across enterprise infrastructure. As AI assumes a more active role in enterprise workflows, the ability to observe, govern, and correct machine-driven activity becomes as important as the ability to restore data after failure. Agent Commander positions Veeam within this emerging layer, where resilience expands from recovery to controlled execution.
What Was Announced
Veeam Agent Commander introduces an architecture designed to protect and control AI-driven enterprise operations by integrating resilience, data security intelligence, and governance into a coordinated operational layer. At the core of Agent Commander is the Data Command Graph, a relational intelligence engine that maps connections between enterprise data, identities, AI models, and agents. This graph provides persistent awareness of how data moves and is accessed, allowing organizations to identify sensitive data exposure, detect shadow AI deployments, and understand downstream impact. By maintaining a continuous record of these relationships, the platform establishes accountability across infrastructure, applications, and data services.
Agent Commander provides visibility across both production workloads and recovery repositories, linking real-time activity with prior data states. This allows organizations to understand how AI-driven changes affect data, access controls, and operational workflows, improving the precision of recovery and policy decisions.
The platform enables granular policy enforcement governing how data can be accessed and used by AI agents across hybrid and cloud infrastructure. These controls help organizations identify and prevent risky combinations of sensitive data access, compromised identities, and machine-initiated actions before issues propagate.
Agent Commander also enables targeted reversal of changes introduced by AI agents. Using contextual relationship data maintained in the Data Command Graph, organizations can reverse specific actions without reverting entire workloads or disrupting unrelated operations. This extends resilience beyond full restoration to precise operational correction. The platform integrates Veeam’s recovery infrastructure with Securiti’s data security and governance intelligence, enabling continuous awareness of data ownership, access, and usage. This unified design establishes a foundation for managing and controlling AI-driven operations safely at enterprise scale.
Looking Ahead
Agent Commander represents an early implementation of capabilities that will become necessary as AI assumes continuous operational roles across enterprise infrastructure. As automated processes gain the ability to access sensitive information, initiate workflows, and modify operational data independently, the associated risk profile changes. The challenge is no longer limited to protecting information from loss or compromise. It extends to ensuring that automated actions remain observable, accountable, and correctable.
Over time, control planes responsible for managing AI execution will become a standard architectural component, similar to identity services and cloud control layers that coordinate infrastructure today. These layers will provide continuous awareness of how data is accessed and used, enforce policy boundaries, and enable precise correction when automated activity produces unintended outcomes. This transition will redefine the role of resilience platforms. Rather than serving solely as recovery mechanisms, they will increasingly function as operational authorities responsible for maintaining integrity, accountability, and trust across automated workflows. Recovery will remain essential, but its scope will expand from restoring data after failure to correcting the effects of automated execution while preserving operational continuity.
In our view, Veeam’s integration of recovery context with data governance intelligence positions the company to participate meaningfully in this transition. By combining visibility, policy enforcement, and corrective capability, the platform begins to address a critical requirement emerging across enterprise environments: managing the operational risk introduced by autonomous AI.
We will be watching closely as Veeam expands these capabilities and integrates them more deeply into enterprise workflows. The long-term impact will depend on how effectively the platform can maintain persistent awareness of AI-driven activity and enable precise intervention when necessary. Platforms that can deliver this level of oversight will become foundational to operating AI safely at enterprise scale.
Ron Westfall | VP and Practice Leader for Infrastructure and Networking
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.
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Don Gentile | Analyst-in-Residence -- Storage & Data Resiliency
Don Gentile brings three decades of experience turning complex enterprise technologies into clear, differentiated narratives that drive competitive relevance and market leadership. He has helped shape iconic infrastructure platforms including IBM z16 and z17 mainframes, HPE ProLiant servers, and HPE GreenLake — guiding strategies that connect technology innovation with customer needs and fast-moving market dynamics.
His current focus spans flash storage, storage area networking, hyperconverged infrastructure (HCI), software-defined storage (SDS), hybrid cloud storage, Ceph/open source, cyber resiliency, and emerging models for integrating AI workloads across storage and compute. By applying deep knowledge of infrastructure technologies with proven skills in positioning, content strategy, and thought leadership, Don helps vendors sharpen their story, differentiate their offerings, and achieve stronger competitive standing across business, media, and technical audiences.