Your most trusted employees can now distil years of institutional knowledge in days, sometimes without realising the risk they’re creating.
Insider risk has fundamentally changed. We’re past the days of someone copying files onto a USB stick.
Today, trusted employees are using AI tools to summarise reports, analyse strategy documents, refine product ideas, and speed up everyday work. But in doing so, they may be unintentionally exposing sensitive data, or deliberately transforming organisational intelligence into portable competitive advantage.
Okay so what do we mean?
We have accidental and deliberate data leakers, both just as risky to your business, but in different ways.
Scenario 1: The Accidental Leak
A well-meaning employee pastes sensitive board slides into a public GenAI tool to “improve the wording. No malicious intent.
But sensitive data leaves the organisation, often without visibility or policy enforcement.
Scenario 2: The Deliberate Distiller
An employee with elevated access begins planning their exit.
Using GenAI tools, they:
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Map where sensitive documents live across SharePoint, Git, and internal wikis
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Distil complex R&D materials into concise technical playbooks
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Extract product-roadmap insights and strategic gaps
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Transform internal analysis into polished business plans and GTM models
No classic DLP triggers. Just accelerated, AI-driven consolidation of institutional knowledge.
Why This Matters Now
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75%+ of knowledge workers use GenAI tools at work
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Nearly 40% admit entering sensitive business information into public AI tools
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Most insider IP loss occurs without bulk file movement
AI has radically reduced the effort required to convert access into impact, whether intentional or accidental.
You need to know how AI is changing your exposure surface. Do you have visibility before knowledge walks out the door?
