Discover AI Agents at the Endpoint

Use Case

Gain AI-specific visibility into applications, models, agents, coding tools, browsers, frameworks, and MCP resources operating on managed endpoints. Use this context to identify Shadow AI, understand agent capabilities and access, and extend discovery into active endpoint governance.

Challenges

Employee endpoints have become a major deployment point for autonomous AI, but traditional software inventories and endpoint tools rarely explain what AI can do or reach. Common challenges include:

• Users install AI tools and agents without security involvement
• Traditional inventories identify software but miss embedded AI capabilities
• Local agents may access files, credentials, applications, APIs, and MCP tools
• Security teams lack context to distinguish approved use from high-risk deployments

Solution

PointGuard AI provides a comprehensive solution that combines flexible endpoint discovery with centralized inventory, policy, and runtime protection:

1. Deploy flexible discovery. Use Agentic Endpoint Security endpoint components, agentless Microsoft Intune integration, or a managed browser plugin to identify AI across enterprise desktops.

2. Inventory endpoint AI. Add discovered applications, models, agents, frameworks, coding tools, browsers, MCP servers, and extensions to AI Discovery & Inventory.

3. Map capabilities and access. Understand which files, applications, APIs, tools, credentials, and enterprise resources each agent or AI tool can reach.

4. Apply endpoint controls. Restrict unauthorized deployments and use runtime guardrails to inspect prompts, responses, instructions, and MCP communications for malicious content or sensitive-data exposure.

Together, these controls convert endpoint visibility into ongoing governance and protection for workforce and autonomous AI.

Risks Addressed

Applicable framework risks and controls include:

OWASP Top 10 for LLMs

• LLM01:2026 Prompt Injection
• LLM02:2026 Sensitive Information Disclosure
• LLM03:2026 Excessive Agency
• LLM04:2026 Supply Chain

OWASP Top 10 for Agentic Applications

• ASI01: Agent Goal Hijack
• ASI02: Tool Misuse and Exploitation
• ASI03: Identity and Privilege Abuse
• ASI04: Agentic Supply Chain Vulnerabilities
• ASI05: Unexpected Code Execution (RCE)
• ASI10: Rogue Agents

NIST AI Risk Management Framework

• GOVERN 1.4: establish transparent endpoint AI policies and controls
• MAP 1.1: document intended use and endpoint deployment context
• MEASURE 2.7: evaluate and document AI security and resilience
• MANAGE 4.1: monitor deployed AI and manage incidents and changes