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Security Risks in Agentic AI Workflows and Machine Control Protocols

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AI agents are increasingly capable of executing code end-to-end, which introduces significant security risks. Machine Control Protocols (MCPs) manage AI agent actions, including tool access and API permissions. Misconfigurations or compromises in MCPs can lead to unauthorized actions, as demonstrated by CVE-2025-6514, where a flaw in an OAuth proxy enabled remote code execution. This highlights the need for securing MCPs to prevent AI agents from executing attacks. A webinar will address these risks, covering MCP security, shadow API key management, and practical controls to secure agentic AI without hindering development.

Timeline

  1. 13.01.2026 15:44 1 articles · 23h ago

    Webinar Announced on Securing Agentic AI and Machine Control Protocols

    A webinar will address the security risks of agentic AI workflows, focusing on Machine Control Protocols (MCPs). The session will cover MCP security, shadow API key management, and practical controls to secure agentic AI. The webinar is led by the author of the OpenID whitepaper on Identity Management for Agentic AI.

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