Control Gap

A control gap is an absence or weakness in governance mechanisms, processes, or oversight structures that creates exposure to unmanaged AI risks. In enterprise settings, control gaps might arise from inadequate monitoring of model behavior, insufficient testing protocols, missing audit trails, or unclear accountability frameworks. These gaps matter for AI governance because they allow risks like model drift, bias, or unauthorized system changes to persist undetected, potentially resulting in compliance violations, operational failures, or reputational damage.

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ResearchGlobal2026-09-19

Only 17% of Firms Secure Agentic AI Tool Access in Dev Standards

Wavestone's AI Cyber Benchmark 2026 finds that 33% of organizations have integrated agentic AI into governance frameworks, but only 17% have embedded secure access to AI tools and functions into development standards. The gap reveals that governance coverage is outpacing actual control implementation. The finding points to weak design around tool permissions, secure development, and operational oversight for autonomous systems.

agentic AI secure development governance maturity tool permissions Wavestone agent security control gap