[KongchangAI]
ConceptAI Agent Control & Coordination Protocol / AC2

AC2 Protocol

The AI Agent Control and Coordination Protocol, a specification that provides a model-agnostic security control layer for AI agents. It enforces agent behavior externally through fine-grained behavioral constraints, least-privilege principles, and a zero-trust architecture, restricting agent operations independently of the underlying model.

Timeline (last 90 days)

Sep 12

The full name of the AC2 Protocol is AI Agent Control & Coordination Protocol; it is positioned as the missing security layer for AI agents, providing standardized access control and behavioral constraint mechanisms for autonomously operating agents.

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Sep 12

The core idea of the AC2 Protocol is to establish a security control layer decoupled from the model, inserting a programmable intermediary layer between agents and external systems through which all agent operation requests must pass for review and authorization.

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Sep 12

The fine-grained behavioral constraint mechanisms of the AC2 protocol include rate limiting, human confirmation mechanisms for high-risk operations, dynamic permission adjustment based on context and risk assessment, and complete audit logs.

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Sep 12

AC2 is positioned as a security supplementary layer for protocols such as MCP rather than a replacement, used to fill the gaps in existing agent protocols in the dimension of security governance.

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Sep 12

The AC2 protocol is still in an early stage, with limited community attention, and has not yet become an industry standard.

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Sep 12

High-risk operations (such as deletion, fund transfers, and sending emails) should require secondary human confirmation.

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Sep 12

Agent security protocols face a trade-off between security strength and performance overhead as well as autonomy—being too strict will reduce response speed, while being too lenient renders security meaningless, and the ideal solution is tiered authorization.

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