"AI happens at machine speed, which means organizations must understand what data is being used, by what agent, and how in real-time. If an error occurs, organizations not only need to understand what data was impacted, but they also need the ability to undo any damage rapidly."
"The most critical gap in today's AI infrastructure is trust. As AI agents scale, data risk and AI risk have become one and the same. An agent is only as trustworthy as the data it can see, access, and act on. Yet enterprise controls remain fragmented with separate systems for protection, security, governance, and recovery."
"At the heart of Agent Commander is Veeam's Data Command Graph, a real-time relational intelligence engine that maps live connections between data, identities, AI models, and autonomous agents. This happens in both production and backup environments. Veeam sees the toxic combinations where compromised identities, exposed data, and autonomous agents intersect."
Veeam introduced Agent Commander, acquired through Securiti AI, to address critical AI infrastructure gaps centered on trust. As AI agents scale, data risk and AI risk converge, requiring real-time visibility into data usage, agent actions, and system impacts. Traditional security workflows operating at human speed cannot match AI's machine speed, leaving organizations vulnerable to unauthorized data access and untracked model actions. Agent Commander's Data Command Graph provides real-time relational intelligence mapping connections between data, identities, AI models, and autonomous agents across production and backup environments. The platform identifies toxic risk combinations where compromised identities, exposed data, and autonomous agents intersect, enabling organizations to detect shadow AI, prevent sensitive data exposure, and rapidly undo AI-driven errors.
Read at Techzine Global
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