Discover why 85% of organizations are exploring agentic AI, yet only 5% are in production. Learn how to bridge the agent trust gap with robust security.

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A Cisco survey of senior IT and security leaders reveals that while 85% of organizations are experimenting with agentic AI, only 5% have reached broad production. The primary barrier is trust rooted in security concerns: agent access control, data exfiltration, and unpredictable autonomous behavior top the list of fears. Successful deployments are almost entirely internal-facing (IT ops, SecOps, financial analysis), while customer-facing agents remain stuck in pilot due to risks from non-deterministic behavior and adversarial inputs. The post argues that traditional identity-based access models must evolve toward action-based Zero Trust, and that fragmented ownership across CISOs, CIOs, and AI committees creates accountability gaps. Closing the control gap requires defining non-human identities, enforcing least-privilege access, and continuously monitoring agent behavior.

The Agent Trust gap: What Our Research Reveals About Agentic AI Security

Security: The Ultimate Frenemy of AI Adoption

The Reality Check: Who is Actually Adopting Agentic AI?

The Internal vs. External Divide: Why Customer-facing Agents are Stuck in Pilot

Evolving Zero Trust: From “Who You Are” to “What You Do”

Closing the Control Gap Without Killing Innovation

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