Snyk Labs

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Guardrails for Agentic AI: From MCP Scanning to AI-BOM Visibility
Chrish Huszcza
AI agents are quickly moving from experimental prototypes to the backbone of enterprise workflows. Their strength lies in autonomy, the ability to make decisions, chain tasks, and interact with other systems without constant human oversight. At the heart of this capability is the Model Context Protocol (MCP), a framework that bridges large language models with the external tools, APIs, and data sources they rely on. By extending what an AI agent can see and do, MCP unlocks powerful new possibilities for automation and orchestration.
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