State of Enterprise
AI Security
The 2026 benchmark of enterprise AI security practices, shadow AI prevalence, and governance readiness, compiled from published industry research. Understand the risks. Take control.
AI adoption is outpacing security at every level
Enterprise AI adoption has reached an inflection point. Published research paints a stark picture: enterprise AI activity surged 83% year over year (Zscaler ThreatLabz, 2026), while security and governance frameworks have failed to keep pace.
Shadow AI (the use of unsanctioned AI tools by employees) has emerged as the single largest unmanaged risk in enterprise security. With 78% of AI users bringing their own AI tools to work (Microsoft & LinkedIn Work Trend Index, 2024), sensitive data is being shared with third-party models at an unprecedented scale.
This benchmark curates that data for CISOs, CIOs, and security leaders. Figures with a named source come from published research; the remaining figures are illustrative estimates, clearly marked as such.
AI Governance Maturity (IBM, 2025)
Top Findings at a Glance
Shadow AI in Published Research
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