As AI agents become part of software development and automated workflows, the risk boundary of enterprise endpoints is changing. AI agents can do more than process content: they can invoke tools, access files, and take actions using existing permissions. Recent public cases involving malicious MCP tools, hidden instructions in pull requests, third-party skills, and collaboration features show how legitimate workflows can be turned into paths for unauthorized actions or data exfiltration. For organizations, the challenge is understanding where AI agents are deployed, what resources they can reach, and what risks their current configurations may introduce.

This white paper examines how AI agent risks emerge at the endpoint through real-world cases, then uses the OWASP Top 10 for Agentic Applications and AIVSS to explain risk classification and severity assessment. It also outlines how asset inventory, configuration review, and endpoint information can provide the context needed for risk decisions, and how ThreatSonar Plus applies endpoint assessment to help organizations understand AI agent deployment, exposure, and remediation priorities.

Download the white paper to learn how organizations can evaluate AI agent attack surfaces from the endpoint perspective and bring these risks into existing endpoint management and governance processes.