
Eliminate identity security risks and access governance fatigue with Veza Access Agents. Powered by the Access Graph, Veza Access Agents automate complex identity security and access governance tasks for organizations, to visualize, prioritize and remediate risk across all identities, at scale. With the introduction of Veza Access Agents, we are shifting the burden of access security and access governance tasks from manual effort to intelligent, automated reasoning. Reinforcing our vision of Veza as the Enterprise Agent Identity Control Plane, Veza Access Agents lays the foundation for enforcing deterministic policies for agents at machine speed.

Key Benefits
Conversational Access Intelligence: Empower security and IAM teams to ask complex identity and access questions in plain English and receive graph-backed insights instantly. Turn deep access analysis into a fast, conversational experience.
AI-Powered Context to Scale Risk Reduction – Leverage AI-driven reasoning grounded in Veza’s canonical data model to proactively surface excessive access, misconfigurations, and risk patterns across the organization.
Accelerated IGA With AI Agents – Enhance access reviews and ongoing governance processes with context-aware AI that improves decision quality and consistency.
Veza Access Agents1
Veza Prompt Agent
A conversational natural language interface that enables security and IAM teams to ask complex identity and access questions in plain English.

Veza Access Search Agent
Transforms natural language queries into visual permission relationships in the Veza Access Graph, providing a clear, end-to-end view of who has access to what across all identities and their entitlements.

Veza Access Review Agent
Explains complex reviews in plain language and assists managers prioritize high-risk items through context-driven, AI-assisted decisioning — reducing review fatigue while improving decision quality.

1. Veza Access Agents are available now as Early Access to select customers. General Availability is at the end of Q2 2026.



