Shadow Agents

A shadow chatbot can leak data. A shadow agent can also act: sending email, changing records, running code, or calling external APIs. That makes unsanctioned agents a higher-stakes version of the familiar shadow IT problem.

Common sources of shadow agents include:

• Coding agents: Developers running agents like Claude Code, Codex, or Cursor with broad local access.
• SaaS agent features: Agent capabilities switched on inside approved applications.
• Low-code builders: Business users connecting agents to corporate systems.
• Personal accounts: Employees linking work data to consumer AI agents.
• Unapproved MCP servers: Tools installed locally that agents connect to without review.

Shadow agents often run with personal or broadly scoped credentials, and their activity rarely reaches central logs. Incidents such as coding agents publishing internal screenshots to personal GitHub accounts show how quickly they can expose data.

Banning agents rarely works. The effective approach is discovery, a fast approval path, and controls that let approved agents run safely.

How PointGuard AI Helps

PointGuard AI Agentic Endpoint Security discovers agents and MCP servers on employee devices, and AI Discovery finds agents across cloud and SaaS. Agent Mission Control then registers approved agents and applies policy, turning shadow agents into governed ones.

Learn More

• OWASP Top 10 for Agentic Applications
• NIST AI Risk Management Framework
• The Hacker News: AI Coding Agents Exposed 13,000 Internal Images on GitHub