Ungoverned Agent Sprawl Across the Enterprise

Platform and product teams launch agents faster than security can register them. Agents appear in cloud accounts, SaaS tools, code repositories, and developer machines, and leadership cannot say which are authorized, who owns them, or what they can reach. PointGuard AI discovers agents across every vector, assigns ownership, and scores risk so teams can prioritize remediation before an agent needs to be shut down.

Agent adoption has outrun inventory and governance.

• Agents run across clouds, SaaS platforms, and endpoints.
• Many agents have no registered owner or business purpose.
• Permissions and connected tools are unknown.
• Leadership lacks a single view of agent risk.

AI Discovery & Inventory, Agent Mission Control, and AI Security Posture Mgt. combine discovery, registration, and risk scoring.

1. Discover every agent. Scan clouds, SaaS integrations, repositories, runtime telemetry, and endpoints for agents and the MCP servers they use.

2. Register and assign ownership. Record each agent's owner, mission, permissions, and connected tools in a central registry.

3. Score and prioritize. Combine posture findings, permissions, and behavior into a risk score per agent. Prioritize overprivileged and unowned agents.

4. Remediate and report. Route fixes to owners, restrict or retire unapproved agents, and report progress to leadership.

• OWASP Top 10 for LLMs: LLM06 Excessive Agency, addressing agents deployed with unchecked authority.
• OWASP Top 10 for Agentic Applications: ASI03 Identity and Privilege Abuse and ASI10 Rogue Agents, covering unmanaged identities and agents operating outside governance.
• NIST AI RMF: GOVERN assigns ownership; MAP inventories agents; MEASURE scores risk; MANAGE prioritizes remediation.