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AI Governance Statistics for 2026: Trends, Risks & Enterpris

ID: c99e4f87-a6a9-5133-9da6-df53d42cabaa

STIX ID: report--c99e4f87-a6a9-5133-9da6-df53d42cabaa

Feed Name: Security Boulevard

Date Published: 2026-05-19

Date Updated: 2026-05-19

Author: Grip Security Blog

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**Executive summary:** This report outlines 2026 AI governance statistics showing a sharp rise in AI-related SaaS attacks (~490% YoY), widespread involvement of sensitive data (>80%), massive SaaS and AI sprawl (average ~3,891 SaaS+AI environments and 139+ AI-enabled apps per enterprise), and pervasive identity/OAuth permission risks and visibility gaps; it argues that governance failures are driven primarily by identity, access, and integration blind spots rather than model misuse.

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