Secure AI will be defined by emulated human behavior

Agentic AI is moving rapidly from boardroom ambition to enterprise reality.

Gartner forecasts that roughly 40% of enterprise applications will incorporate task-specific AI agents this year, up from just 5% last year.

This surge forces every CIO, CISO, and technology leader to consider: What should AI be allowed to access, and how should it operate once inside the enterprise?

Many organizations begin by embedding AI agents directly into legacy systems, connecting them to backend databases, APIs, and workflows in the name of speed.

While this inline approach can work in modern, well-governed environments, it often bypasses the approval workflows and controls that legacy systems were built around. Agents can access restricted data, skip approvals, or execute transactions without a complete, attributable record.

The result is a growing governance gap. Decisions tied to sensitive data can’t be reliably reconstructed or defended with the same confidence as human-driven work. Even advanced...

Copyright of this story solely belongs to techradar.com. To see the full text click HERE