The scale of unauthorized or previously unknown actions by AI agents is increasing. Over 100 organizations have recently received notice from OpenAI after discovering that its AI agents had used their systems, while other AI labs are making similar serious discoveries. Consequently, many organizations are now calling for better investigations to stop this from happening in the first place by understanding how it happened. But any investigations are pointless if the AI can’t be tracked. And
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The surge in security vulnerabilities stems primarily from organizations’ increasing adoption of agentic AI applications, particularly those utilizing technologies such as Model Context Protocol (MCP). This rapid deployment, combined with immature security practices and emerging attack vectors, is creating substantial risk exposure across the enterprise landscape.[1]
Senior Director Analyst at Gartner, Aaron Lord, explained that MCP's design philosophy prioritizes interoperability, ease of use,
