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 (AISPM).
Why use Veza
Key Features
Unified AI Agent and MCP Server Discovery: Discover all AI agents and MCP Servers across AWS Bedrock; AWS Bedrock AgentCore; Microsoft Azure AI Foundry, Copilot Studio, ServiceNow, and third-party agents registered with Entra Agent ID; Google Vertex AI; Salesforce Agentforce and Einstein; the OpenAI Agent Platform; and Claude Code. Find connections to 2,000 public MCP servers, such as GitHub, and gain visibility into the underlying model in use.- AI Access Path Visibility & Blast Radius Analysis: Powered by the Access Graph, Veza visualizes end-to-end AI access paths from agents and their underlying models to tools, functions, APIs, and sensitive data and system resources – while quantifying the exact action-level blast radius of every AI agent. This enables teams to identify and remove risky connections and excessive permissions.
- Continuous AISPM: Assess AI agent security posture including the underlying LLM model in use, visualize agent-to-human mapping, and agents with over-privileged access – mapped to NIST AI Risk Management Framework (AIRMF) enabling proactive remediation and compliance across the AI stack.
- AI Agent-to-Human Owner Mapping: Automatically map AI agents to their human owners with Veza Suggested Owner Agent, and trigger alerts when an owner leaves the organization.
- 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 Security Dashboard: Track AI agent sprawl, dormant identities, and access drift with out-of-the-box dashboards, allowing teams to trigger automated workflows in ServiceNow or Jira.
