Veza, the pioneer in identity security, announced a landmark expansion of the Veza Platform with the introduction of Veza Access Agents – a set of purpose-built AI Agents designed to automate complex identity and access governance tasks for enterprises. Veza also announced advancements to its AI Agent Security product, providing organizations with deeper visibility, agent risks, and control over third-party AI agents, large language models (LLMs), AI apps, and AI infrastructure (MCP).
As enterprises rapidly adopt agentic AI to drive business efficiency, the volume and complexity of identity-based access have reached a tipping point. “Identity security for AI agents is one of the most urgent and unsolved challenges in cybersecurity today,” says Phil Venables, cybersecurity leader, partner at Ballistic Ventures, and former CISO, Google Cloud. “As organizations move toward a future where AI agents may outnumber humans by 80 to 1 or more, the question of permissions and authorization becomes mission-critical. Without clear governance, visibility, and control, AI agents introduce a new layer of risk at machine scale. Veza Access Agents addresses this head-on, bringing the same rigor, policy intelligence, and authorization discipline we expect for human identities to the rapidly expanding ecosystem of AI agents.”
Introducing Veza Access Agents: Identity Automation at the Speed of Business
Veza Access Agents leverage the power of the Veza Access Graph to enable an interactive experience for IAM teams, Agentic AI programs, and identity security use cases. Built on AWS Bedrock for enterprise-grade compliance controls, Veza intelligently chooses the optimal model (Claude, Opus, Sonnet) for each task—whether you need quick responses or deeper reasoning—without compromising quality or correctness. The first set of Veza Access Agents, currently available as early access, include:
- Veza Prompt Agent: A conversational, natural language interface that quickly surfaces insights and answers complex queries easily allowing customers to understand enterprise risks of agents, machines, and human identities.
- Veza Access Search Agent: Enables simple natural language queries to visualize permission relationships for all identities and their entitlements.
- Veza Access Review Agent: Helps customers to focus on high-risk access review items and eliminates reviewer fatigue through an accurate, context-based, AI-assisted reasoning and decision process.
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“Identity is a foundational element in security, especially in the era of autonomous AI. We are on the cusp of having trillions of AI agents. And we believe that identity Security for AI Agents is an unsolved problem,” said Tarun Thakur, Co-Founder and CEO of Veza. “Veza’s Access Graph harnesses the power of identity and permissions data across enterprise systems, to help organizations understand who and what can access what data. This enables enterprises to visualize, govern, and manage access across humans, non-human identities, and AI agents to data. With the introduction of Veza Access Agents, we are shifting the burden of access security and access governance tasks from a manual effort to intelligent, automated reasoning – this lays the foundation to enforce deterministic policies for agents at machine speed towards our vision of Veza as the Enterprise Agent Identity Control Plane.”
SOURCE: Veza