Veeam launches Agent Commander to help enterprises manage AI agent risk
In February 2026, Enterprise data resilience company Veeam introduced Agent Commander, a new platform designed to help organisations detect artificial intelligence (AI) risk, protect data used by AI systems, and reverse unwanted actions performed by autonomous AI agents.
The product announcement marks the first integrated solution following Veeam’s acquisition of AI governance firm Securiti AI and reflects a wider shift in enterprise technology: as AI becomes embedded in core business processes, organisations increasingly treat data resilience, data security and AI governance as a single operational challenge.
In an exclusive interview with MoveTheNeedle.news, Tim Pfaelzer, General Manager and Senior Vice President for EMEA at Veeam, explained why the company believes AI adoption is forcing enterprises to rethink how they manage and protect data.
AI agents are introducing new enterprise risks
AI agents — systems capable of acting autonomously across business applications — are becoming increasingly common in enterprise environments. These agents can analyse large volumes of information, trigger workflows and make decisions with minimal human involvement.
However, their speed and autonomy also introduce new governance challenges.
“AI agents are only as trustworthy as the data they can see, access, and act on,” said Pfaelzer. “Sensitive data is being fed into models and acted upon in ways no one approved nor is tracking. As AI moves at machine speed, an AI agent can access and act on sensitive data in seconds. Organisations need a unified solution to help safely detect AI risk, protect AI systems, and undo AI mistakes.”
For many companies, the core problem is visibility. AI systems often access both structured data — such as databases — and unstructured information like emails, documents and images. Once this information is integrated into AI models, traditional security and governance tools may struggle to track how it is used.
Why Veeam acquired Securiti AI
The launch of Agent Commander follows Veeam’s acquisition of Securiti AI, a company focused on AI governance and data intelligence.
According to Pfaelzer, the acquisition was driven by the growing complexity of enterprise data environments.
“While data resilience has historically focused on structured business data, the emergence of AI has unlocked the value of all the unstructured data - think about emails, documents, and images - that reside across an organisation. Enterprises must rely on fragmented tools for backup, security, governance, and recovery of that data. But AI demands a single unified platform that manages all the data across the organisation and Veeam’s acquisition of Securiti AI delivers that for the entire data estate.”
The result, Veeam says, is a unified platform designed to help organisations understand how their data interacts with AI systems.
What Agent Commander does
Agent Commander combines Veeam’s data resilience capabilities with the Securiti Data Command Center, creating a platform designed to oversee enterprise data and AI activity in one place.
The company describes three core capabilities:
Detect AI risk
The platform identifies potential risks in AI systems, including shadow AI deployments, sensitive data exposure and risky AI agent behaviour.
Protect AI pipelines
Organisations can apply granular controls across data, identities and AI agents to ensure policies are enforced across both production and backup environments.
Undo AI mistakes
Agent Commander can reverse unwanted AI actions using precise, context-aware recovery processes instead of restoring entire systems.
This recovery capability is central to the product’s positioning.
“It’s a question of speed,” Pfaelzer said. “AI agents can access and act on sensitive data in seconds. When an error occurs, organisations need to know what data was impacted and be able to undo damage rapidly. That’s why Agent Commander emphasises precision response — the ability to surgically reverse unwanted AI actions rather than relying on broad rollbacks or slow, manual remediation.”
A single control plane for AI governance
Veeam describes Agent Commander as a control plane for AI operations — a central system that provides visibility into how data, identities and AI models interact across an organisation.
At the centre of the platform is Veeam’s Data Command Graph, a relational intelligence engine that maps connections between data sources, AI models, identities and autonomous agents across both production and backup environments.
The goal is to provide enterprises with a clearer understanding of how AI systems interact with sensitive information and where potential risks may arise.
“When AI is powered by your structured and unstructured data at machine speed, you need a single unified approach rather than different, unconnected, and siloed tools or slow manual processes,” Pfaelzer said. “The single control plane gives you visibility across all your data, ensures your entire data estate is protected with the ability to undo AI mistakes when they happen.”
Why AI governance now matters to the whole business
The rise of enterprise AI is also changing how organisations approach governance.
While data security was historically handled mainly by IT and security teams, AI adoption increasingly involves executives across the business — from product teams to operations and compliance leaders.
According to Pfaelzer, this shift means trust in AI systems must become a shared responsibility.
“For CISOs, it speaks to visibility, control, and reducing exposure created by shadow AI and sensitive data access. For CIOs and business leaders, it addresses the operational reality that AI needs guardrails to scale safely. And that trust includes the ability to respond and recover at AI speed.”
AI risk and data risk are converging
Veeam’s broader argument is that AI governance ultimately begins with data governance.
As Pfaelzer explained: “AI is powered by data, so understanding, managing and protecting that data is critical for safe AI.”
The increasing presence of AI agents in enterprise workflows — combined with concerns about shadow AI, compliance and automated decision-making — is pushing companies to rethink how they oversee data across their organisations.
Platforms like Agent Commander represent one attempt to build the infrastructure needed for that next phase of enterprise AI.
Whether such solutions become standard tools for enterprise governance remains to be seen. What is clear is that as AI systems gain greater autonomy, the question of who controls the data — and how mistakes are corrected — is becoming central to enterprise technology strategy.
Further reading on this topic
MoveTheNeedle.news has previously explored how AI governance, enterprise AI adoption and operational control are becoming central themes for businesses deploying AI at scale.
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