Detect AI Risk. Protect AI Use. Undo AI Mistakes.
AI agents are moving quickly from experimentation to operational infrastructure. In many organizations, that growth is outpacing the ability to control them and recover from failures. An agent is only as trustworthy as the data it can access, and the permissions it operates under.
And the tools that exist today are fragmented. Data protection, security, governance, and recovery live in separate systems built for a pre-AI world. None of them were designed to understand how autonomous agents interact with data in real time. Sensitive data is being fed into models without visibility. Agents are acting on systems no one fully understands. And at machine speed, damage compounds long before traditional processes catch it.
Today we’re introducing Agent Commander, delivered through the Securiti Data Command Center. It’s the first integrated solution from Veeam and Securiti AI designed to detect AI risk, protect AI systems, and undo AI mistakes.
At Veeam, the Data and AI Trust Company, our goal is straightforward: ensure the data and AI powering modern businesses are understood, secured, resilient, and able to be safely unleashed.
Agent Commander is an important step in that direction.
Why the Current Playbook Is Broken
Most approaches to AI risk focus on the model layer, such as scanning prompts, filtering responses, or periodically red-teaming systems.
But the real risk rarely starts there.
In agentic environments, risk emerges from the relationships between data, identities, permissions, and agents — what we call toxic combinations. A compromised identity connected to an over-permissioned agent with access to sensitive data isn’t three separate issues. It’s one compounding threat that only becomes visible when you understand how those elements connect.
The problem is that most organizations manage these areas separately. Security sees one signal. Data governance sees another. Backup systems see something else entirely. No single system has the contextual intelligence required to understand how these risks combine. Detection becomes siloed from protection. Protection is disconnected from recovery. And in the agentic era, those gaps are exactly where damage happens.
Closing this gap requires a new control layer for AI operations.
What Makes Agent Commander Different?
Agent Commander is delivered through Veeam’s Securiti Data Command Center, which provides unified visibility across data, identities, permissions, and AI systems.
At the center of the platform is the Data Command Graph, a real-time relational intelligence engine that maps relationships between data, identities, AI models, and autonomous agents across production and backup systems. It continuously enriches those relationships with context, such as access permissions, usage patterns, geographic location, sensitivity levels, and regulatory controls. This gives enterprises a live understanding of how their data is exposed, accessed, and acted on by both humans and AI.
Instead of looking at isolated alerts, the platform understands how systems interact. This makes three capabilities possible:
Detect AI Risk with Context
Agent Commander identifies shadow AI usage, sensitive data exposure, and risky agent behavior, with visibility into downstream impact across systems and environments.
Risk rarely exists in a single component. It emerges from how systems interact. The Data Command Graph maps those relationships so organizations can see threats forming before they escalate.
Protect AI Systems, Autonomously
Agent Commander enforces granular controls across data, identities, and AI agents across model providers, cloud environments, or infrastructure. Protection applies through the AI lifecycle, from data preparation to runtime.
- At the data layer, it classifies and prepares data for safe AI use while remediating over-permissioned access.
- At the AI layer, runtime guardrails inspect prompts, retrievals, and responses and enforce policy in real time, protecting against the two biggest risks organizations face: sensitive data leakage and prompt injection.
Organizations retain control even as their AI ecosystems evolve.
Undo AI Mistakes with Precision
Prevention is critical, but resilience ultimately protects the business. And with agentic AI, mistakes are inevitable.
Autonomous agents move fast, act independently, and will make mistakes. The real challenge for most organizations isn’t simply detecting these issues. It’s understanding exactly what changed and reversing the damage before it spreads.
Agent Commander is built for that reality. By combining deep contextual visibility across data, identities, and AI activity with precise recovery capabilities, organizations can surgically reverse AI-driven actions, restoring only the affected data to a trusted state without rolling back entire environments.
To operate an AI-first enterprise, organizations need the ability to respond to mistakes with both speed and precision. Until now, that simply hasn’t been possible.
The New Control Layer for Data And AI Risk
Agent Commander represents the first integrated solution following Veeam’s acquisition of Securiti AI.
Together, we are creating a new foundation for managing data and AI risk across the full lifecycle, from understanding data exposure to protecting AI at runtime and recovering cleanly when something goes wrong.
And the threats organizations face are only growing more complex. Agentic AI architectures are facing novel attack vectors across an expanding surface area. Multiple agent architectures are evolving on top of shared data resources. Expanded use of tools increases the potential blast radius of AI incidents.
These risks span the full DataAI lifecycle and across traditionally siloed views of data security, AI security, and recovery. Addressing them requires an integrated approach to risk detection, proactive data protection, runtime guardrails, and precise recovery, all driven by deep contextual intelligence that spans production and backup environments.
That’s what Agent Commander enables.
AI will only scale in the enterprise if it can be trusted. Our goal is to make that trust operational.
Get Early Access
Agent Commander will be available in private preview at the end of March through the Securiti Data Command Center. To learn more about Agent Commander or to request early access visit the full overview here.
You can also see Agent Commander in action at RSAC 2026, March 23-26 in San Francisco, at the Veeam booth in the South Hall. Book a meeting with our team to experience Agent Commander firsthand.