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AI Agent Security

Protect, govern, and control AI agents at scale with Veza. Accelerate your AI initiatives with unified visibility and data-driven insights into the scale and scope of AI agents in your environment. Instantly understand what data and applications the AI agents have access to, map human owners, and visualize audit trails to establish robust AI Security Posture Management (AI SPM).

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Why use Veza

Find and Eliminate Shadow AI

Discover and gain powerful insights about AI agents instantly across your enterprise.

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Review and Enforce Least Privilege for AI Agents

Proactively identify and remove excessive AI agent permissions, apply least privilege policies, and minimize potential breach impact.
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Establish Robust AI Agent Ownership and Governance

Confidently govern which human users and groups can access and delegate permissions to AI agents, ensuring human accountability with clear relationships to every AI agent.

Ensure Continuous Compliance

Be audit-ready and meet your SOX, NIST, and other regulatory requirements with precise responses to what the AI agents have access to. Align with OWASP LLMSecOps requirements for monitoring and governance.

Find and Eliminate Shadow AI

Discover and gain powerful insights about AI agents instantly across your enterprise.

Review and Enforce Least Privilege for AI Agents

Proactively identify and remove excessive AI agent permissions, apply least privilege policies, and minimize potential breach impact.

Establish Robust AI Agent Ownership and Governance

Confidently govern which human users and groups can access and delegate permissions to AI agents, ensuring human accountability with clear relationships to every AI agent.

Ensure Continuous Compliance

Be audit-ready and meet your SOX, NIST, and other regulatory requirements with precise responses to what the AI agents have access to. Align with OWASP LLMSecOps requirements for monitoring and governance.

Key Features

  • Unified AI Agent Discovery: Discover all AI agents and MCP Servers across AWS Bedrock, Microsoft Copilot Studio, Salesforce Agentforce & Einstein, and Google Vertex AI. Find connections to GitHub MCP servers.
  • AI Agent-to-Human Owner Mapping: Establish a clear line of sight accountability by assigning AI agents human owners for accountability and governance.
  • Secure AI Services and Resources: Continuously monitor, govern, and control access to AI agent services and resources across OpenAI, Azure AI, and Azure OpenAI.
  • AI Agent Access Path Visibility and Control: Map the potential blast radius, identifying risky relationships and excessive permissions between agents, humans, and data systems across Microsoft, Salesforce, and AWS agents. Determine the best way to fix over-permissioning and achieve least privilege.
  • Continuous AI SPM: Assess AI agent security posture  including the underlying LLM model in use, visualize agent-to-human mapping, and agents with over-privileged access.

Learn more about Agentic AI

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