Learn how AI agent security is holding teams back, where MCP comes in, and the recommended next steps for enterprises looking to scale their agentic workflows.

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A survey of 800+ developers and decision makers reveals that security is the primary blocker preventing enterprises from scaling AI agents. 40% cite security as their top challenge, 45% struggle to ensure tools are secure and enterprise-ready. MCP adoption is widespread (85% familiarity among advanced users) but lacks enterprise-grade security controls, with 46% of early adopters flagging security and compliance as their top MCP challenge. Key concerns include prompt injection, tool poisoning, access control, and runtime isolation. Docker recommends secure-by-default platforms with integrated governance and policy enforcement as the path forward.

What’s Holding Back AI Agents? It’s Still Security

AI agent security isn’t one issue it’s the constraint

MCP is popular but not ready for enterprise