Agent Communication Protocol (ACP)
Agent Communication Protocol (ACP) is a REST-based standard for AI agent interoperability. Learn how ACP relates to MCP, A2A, and enterprise AI governance.
Why teams use ACP
Teams adopt ACP to reduce one-off integration work between agent runtimes, internal tools, and external services. A shared protocol model makes integration patterns more reusable across vendors, and it can shorten the time needed to move from pilot workflows to production orchestration.
For security and operations leaders, the core value is not just interoperability. It is being able to apply policy, identity, and runtime controls consistently as agent-to-agent interactions scale.
ACP vs MCP
ACP and MCP are often discussed together, but they focus on different interaction surfaces.
- ACP focuses on how agents communicate and coordinate with other agents or applications.
- MCP focuses on structured context and tool access patterns between models/agents and external resources.
In practice, teams can use both patterns in the same architecture. If you are evaluating MCP controls, see MCP Security Explained.
ACP vs A2A
A2A is a broader agent-to-agent framing, while ACP is a concrete protocol approach discussed within that broader landscape. For buyers, the exact naming is still shifting across ecosystems and foundations, so implementation planning should stay architecture-first instead of acronym-first.
ACP should be treated as an emerging option in a fast-moving protocol market, not as a settled long-term default.
Governance implications
Interoperability increases reach. It also increases the blast radius of weak controls. As teams introduce ACP-enabled flows, governance needs to cover:
- Verified identity and authentication for agent calls
- Access controls for tool execution and data scope
- Approval checkpoints for high-impact actions
- End-to-end logging for audit and incident response
Related guidance:
- What Are AI Agents?
- Securing Tool Use in AI Systems
- AI Access Control
- AI Agent Security Guide
- AI Agent Security (Glossary)
Why enterprises need visibility and control over agent-to-agent actions
As agent ecosystems become more connected, governance maturity becomes a competitive requirement. Security teams need runtime visibility into agent communications, enforceable policy gates before sensitive actions, and auditable evidence for compliance and board reporting.
Qadar AI centralizes those controls in Shield Control, so interoperability can move forward without sacrificing governance.