Report

The AI oversight gap: Adoption is scaling. Governance controls aren’t

The growing gap between AI adoption and risk management

The four levels of AI governance maturity

A roadmap for building a resilient, robust AI governance framework

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What's inside

AI is no longer a pilot program. It is embedded across functions, teams, and vendors, often without the governance infrastructure to match. The focus has shifted from the decision to adopt to the far more complex challenge of governing what is already in motion.

Enterprise GRC teams are formalizing governance programs at a pace that deployment has already outrun. Only 25% of organizations report comprehensive visibility into how employees are using AI. The remainder are making governance decisions against an incomplete picture.

This report draws on research from 822 global decision-makers in audit, GRC, cyber risk management, and IT throughout the U.S., Canada, Germany, and the UK.

Download your copy of The AI oversight gap: Adoption is scaling. Governance controls aren’t to learn about:

Where governance is breaking down and why visibility is the first problem to solve
How to identify your organization’s maturity level across four distinct governance states
A five-phase roadmap for closing the AI gap before the next wave of deployment widens it further

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