
By turning manual IAM processes into automated, machine‑speed controls, Veza helps firms prevent compliance breaches and operational delays caused by unmanaged AI agents.
The rapid deployment of autonomous AI agents is reshaping enterprise IT, but it also introduces a hidden layer of identity risk. Each bot, service account, or large‑language‑model instance requires precise permission controls, yet most organizations still rely on manual IAM processes designed for human users. Gartner predicts that more than half of AI projects will stall by 2028 because of unmanaged agent identities. This pressure is driving a market for solutions that can discover, map, and govern non‑human identities at machine speed.
Veza’s newly launched Access Agents translate that need into an interactive, AI‑driven control plane. Built on AWS Bedrock, the Prompt, Access Search, and Access Review agents let IAM teams ask natural‑language questions and receive real‑time permission graphs, dramatically cutting review fatigue. At the same time, the upgraded AI Agent Security suite adds granular discovery of tool‑level calls, a Suggested Owner Agent to eliminate shadow AI, and blast‑radius visualizations that quantify data exposure per agent. By mapping these insights to the NIST AI Risk Management Framework, Veza provides continuous compliance monitoring across the entire AI stack.
For enterprises, the practical payoff is faster, more accurate access governance and reduced risk of regulatory breach. Automated ownership attribution enables security teams to trigger remediation workflows in ServiceNow or Jira without manual triage. As AI agents proliferate, vendors that embed identity as a core control will become essential partners in digital transformation. Veza’s platform positions it as a de‑facto identity control plane for autonomous workloads, a role that could expand as organizations adopt generative AI across finance, health, and supply‑chain functions.
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