Discover Shadow Agents, assign ownership and permissions, and bring them under centralized governance.
Find autonomous agents across endpoints, provider platforms, MCP infrastructure, and live workflows, then register them within a centralized governance system. Connect each agent to an owner, purpose, identity, permissions, tools, approval status, and runtime activity.
Agents can be created locally, provisioned through cloud services, embedded in applications, or connected to enterprise tools through MCP faster than security teams can govern them. This creates several control gaps:
PointGuard AI provides a comprehensive solution that combines continuous agent discovery with a governed enterprise registry:
1. Discover agents across the environment. Identify locally created, cloud-hosted, MCP-connected, and runtime agents through endpoint discovery, provider APIs, the MCP Security Gateway, and Agent Mission Control.
2. Register agents centrally. Add newly discovered agents to the PointGuard AI platform and identify unknown resources as Shadow Agents that require review.
3. Assign ownership and permissions. Associate each agent with an accountable owner, appropriate permissions, purpose, identity, tools, and authorized resources to support policy enforcement and auditability.
4. Keep the registry aligned with runtime activity. Use discovery through the MCP Security Gateway and Agent Mission Control to identify new resources and keep governance current as agents and integrations change.
The result is a continuously updated agent registry that helps teams find Shadow Agents, establish accountability, and maintain governance as agentic AI grows across the enterprise.
Applicable framework risks and controls include:
OWASP Top 10 for Agentic Applications
NIST AI Risk Management Framework