What is Shadow AI (and why should you be concerned)?

Shadow AI refers to the growing use of AI tools by employees, often without visibility, governance, or approval from IT or leadership.
From drafting emails in public AI tools to analysing sensitive data in ad-hoc applications, AI is already being embedded into day-to-day workflows across organisations.

The challenge? Much of this activity is happening outside formal controls.

The problem most organisations don’t see

While AI adoption is accelerating, many leaders don’t have a clear view of:

• Who is using AI tools across the business

• What data is being shared or processed

• Which tools are being used (and whether they’re secure)

This creates a growing gap between AI usage and AI governance—introducing risks that are often invisible until it’s too late.

Why this matters now?

Without the right visibility and guardrails in place, Shadow AI can expose organisations to:

• Sensitive data leakage: Employees unknowingly input confidential or client data into public AI tools

• Compliance and regulatory risk: Particularly in industries handling sensitive information (e.g. legal, professional services)

• Uncontrolled and inconsistent usage: Different teams adopting AI in different ways, without standards or oversight

• Security blind spots: Creating new entry points for risk without IT awareness