Securing the Model Context Protocol (MCP): New AI Security Risks in Agentic Workflows

The Model Context Protocol (MCP), introduced in late 2024, is a significant move forward towards transforming the agentic AI revolution by providing a mechanism for them to connect with enterprise tools, APIs, and databases. The protocol presents a standardized way for large language models (LLMs) and business workflows to communicate with business systems, databases, APIs, and even development environments. Just as Open Database Connectivity (ODBC) standardized access to databases, MCP offers a standard way for AI agents to interact with data and applications across an enterprise. 

However, as MCP is adopted across organizations, we are also seeing the introduction of new types of security risks that did not exist before. The same abilities that make MCP so powerful, such as bidirectional communication, agentic features, tool descriptions, etc., all introduce a new threat landscape that cybersecurity professionals may not be ready for.

This article has been indexed from DZone Security Zone

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