Agentic AI Governance: When Approved Software Turns Agentic

By the end of 2026, Gartner projects roughly 40% of enterprise applications will carry agentic capabilities, up from just 5% in 2025. Much of the software driving that curve isn’t new. It’s already installed, already budgeted for and already sitting on the “approved” side of the ledger. It’s the accounting platform, the HR system, the collaboration tool nobody thinks twice about anymore, yet creates an agentic AI governance blind spot. Organizations built entire risk programs around software behaving as expected, and increasingly, it doesn’t.

“The fundamental assumption was that software could and would and should behave predictably,” said Nick Warner, CEO and co-founder of Neo, an agentic software control startup. “So you would measure against that and reasonably assume that any anomalistic behavior was caused by an attacker or some type of malware.” That paradigm has become antiquated, he said, due to product updates made inside tools companies already trust.

The Agentic AI Governance Blind Spot

Most vendor risk reviews happen once, at approval, and rarely again until the next contract renewal or annual reassessment. that model assumes that once a product passes review, it stays roughly the same product. Agentic capabilities break that assumption.

“Sanctioned software can become a source of shadow AI without anyone purchasing or installing a new tool,” said Jack Lodge, EVP of customer success at NWN Carousel, which manages technology environments for enterprise clients. “A vendor can add an agent that accesses more data, invokes other systems, or acts on a user’s behalf,” Lodge said, “and the tool may remain classified as ‘approved’ even though it has become materially different” from what was originally reviewed. Furthermore, “new agentic capability can use existing permissions to act at machine speed,” he added.