VQV Signal
Despite 78% of organizations adopting enterprise AI, governance infrastructure lags, creating an 'attestation deficit' where enforcement evidence is not auditable or timely. The paper proposes an adaptive intelligence architecture to enable real-time AI policy enforcement and compliance.
Despite 78% of organizations adopting enterprise AI, governance infrastructure lags, creating an 'attestation deficit' where enforcement evidence is not auditable or timely. The paper proposes an adaptive intelligence architecture to enable real-time AI policy enforcement and compliance.
AI-assisted summary based on the listed source.
Enterprise AI adoption has reached 78% of organizations globally, yet the infrastructure to govern that adoption has not kept pace. This paper identifies and characterizes the attestation deficit, a structural condition in which organizations maintain governance policies but cannot produce auditable,...
Without auditable and tamper-evident enforcement evidence, organizations risk regulatory non-compliance and reduced trust in AI governance. Improving real-time policy enforcement infrastructure is critical as AI adoption continues to grow globally.
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VQV surfaced this signal because it is recent, relevant to AI Policy & Society, connected to arXiv.
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