85% of enterprises are experimenting with AI agents—autonomous systems that lack judgment and disregardconsequences. Cisco announces Zero Trust for AgenticAI, integrating identity, access, and behavioral controlsto secure your adoption of AI.

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Cisco announces Zero Trust for Agentic AI, a security architecture extension designed to govern autonomous AI agents in enterprise environments. With 85% of organizations experimenting with AI agents but only 5% in broad production, the solution addresses three core challenges: fragmented ecosystems, inconsistent policy enforcement, and non-deterministic agent behavior. The platform combines agent identity discovery and management, fine-grained least-privilege access control via an MCP gateway, and real-time behavioral monitoring using semantic inspection. A financial automation agent scenario illustrates how the layered controls prevent unauthorized actions while preserving agent efficiency. Many features are still in development.

Zero Trust for Agentic AI: Safeguarding your Digital Workforce

Current challenges in the agentic AI ecosystem

Security for the agentic AI workforce with Cisco