Free White Paper
The AI Visibility Gap
Why Enterprise Controls Cannot See What AI Is Actually Sending
An evidence-based analysis synthesizing 22 independent research sources. No competitor names. No product pitch. Just the data, the architecture gaps, and a maturity framework you can use internally.
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Key findings
Nearly nine in ten AI interactions happen without security team awareness. Enterprise controls see the domain, not the data inside the prompt. (LayerX, 2025)
Over a third of data employees enter into AI tools is classified as sensitive — tripled from 10.7% two years ago. (Cyberhaven, 2026)
Only 11% of organizations can automatically block risky AI activity. The rest detect after the fact — if they detect at all. (Cyera, 2025)
As 85% of enterprises plan to deploy autonomous agents, 79% lack any formal guardrails for the agents they're already running. (Akto, 2025)
What's in the white paper
The new attack surface
Enterprise AI adoption data, the shadow AI economy, and why 60% of employees say unsanctioned AI is worth the security risk.
What leaves the building
The Five Channels of AI Data Exposure — from browser chat to MCP servers — and why most controls only cover Channel 1.
The Four Layers of Agent Vulnerability
A lifecycle model for agent security: Input, Cognitive, Execution, and Interactive layers. Informed by Google DeepMind and MITRE ATLAS research.
Why current controls fail
The Four Architectural Limits and the Control Gap Matrix — a 2×2 framework showing where most enterprises sit vs. where the threat lives.
AI Security Maturity Model
A 5-level self-assessment framework (Level 0: Unaware → Level 4: Adaptive Governance) with diagnostic questions for each level. Built for board presentations.
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Methodology
This white paper synthesizes findings from 22 independent research sources published between 2024 and 2026, covering survey data from over 15,000 respondents and behavioral telemetry from millions of enterprise AI interactions.
Every statistic includes source attribution. Where we introduce original analysis or frameworks (The Five Channels, The Four Architectural Limits, The AI Security Maturity Model), they are clearly labeled as CitrusGlaze Research analysis.
Sources include Stanford HAI AI Index, IBM X-Force Threat Intelligence, Cyberhaven AI Adoption & Risk Report, Deloitte State of AI in the Enterprise, LayerX Enterprise GenAI Security, Cyera AI Data Security, Clutch Security MCP Research, and 15 additional research publications.
This report contains no competitor names and no product comparisons. It is structured as industry education.
Assess your own AI posture
Use the maturity model in the white paper, then scan your team's AI history to see what's actually leaving.
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