The Quiet AI Governance Gap Regulators May Be Starting to Examine

As AI systems move into regulated workflows, enterprises are increasingly unable to document why a specific model was chosen. The emerging risk is not performance failure, but the absence of evidentiary rationale once governance scrutiny begins.

Abstract signal lines intersect on a dark grid, suggesting emerging governance scrutiny and unresolved validation paths in AI decision systems.

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