Agent Discovery

The agent population grows quickly, often outside the visibility of security and IT teams. Agent discovery surfaces the population so it can be governed, authorized, and monitored.

Agent discovery captures:

• Inventory: Each agent's name, vendor, version, and runtime location.
• Owner and purpose: The team and use case the agent supports.
• Tool catalog: The MCP servers, plugins, and APIs the agent is wired to.
• Identity and credentials: Non-human identities the agent uses to act.
• Risk signals: Behavioral baselines, vulnerabilities, and posture findings.

Agent discovery is uniquely time-sensitive because the population changes quickly. Continuous discovery feeds runtime authorization and audit, ensuring that new agents do not run for long without governance.

Programs that operate agent discovery well also auto-onboard newly discovered agents into the governance framework so that policy and audit follow immediately.

The hardest discovery work lives at the developer surface, where agents are stood up quickly using local CLIs and SaaS features, so programs that mature fastest deploy integrations specifically for those channels.

How PointGuard AI Helps

PointGuard's AI Discovery surfaces every agent across the enterprise and links them into the Agent Governance Mesh for identity, authorization, and observability. The combination guarantees that no agent operates outside the governance perimeter for long.

Learn More

• OWASP Top 10 for Agentic Applications
• NIST AI Risk Management Framework
• MITRE ATLAS