Introducing Agent Commander

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...