Shadow AI by the Numbers: Risk Data, Resources and Where to Start

KMTech IT specialist monitoring a live systems dashboard, representing the blog's data on Shadow AI risk and usage statistics.

Shadow AI, the unauthorised use of AI tools outside IT oversight, is already widespread in Australian businesses. This page brings together the data behind that risk, KMTech’s Shadow AI resources by industry, and the tools to check where your own organisation stands. For a full explanation of what Shadow AI means and how it shows up day to day, start with What Is Shadow AI?

Shadow AI in numbers

The scale of the problem is now measurable:

  • 80% of workers use AI tools at work that have not been approved by IT (UpGuard, 2025).
  • 47% of large organisations say they lack full visibility into how employees are using AI tools (Protiviti, 2026).
  • 1 in 2 employees has entered non-public company data into a generative AI tool (Cisco, 2025).

The businesses that get caught out are rarely the ones with no AI policy at all. They are the ones that assumed a written policy was enough, without any way to see whether it was actually being followed. The visual summary below can be shared with your leadership team or used in a board pack.

Shadow AI Infographic

Frequently asked questions

What is Shadow AI, in brief?
Shadow AI is the unauthorised use of AI tools, apps, or platforms by employees outside of IT oversight or approved corporate policy. For a full explanation of what it means and how it shows up day to day, see KMTech’s guide, What Is Shadow AI?

Where should I start if I think my business has a Shadow AI problem?
Start with the AI Governance Checklist, a ten-minute scored self-assessment, or book a Shadow AI Consultation to see actual usage data from your own environment. Most leadership teams significantly underestimate how much unapproved AI use is already happening until they see the real data.

Is there guidance specific to my industry?
Yes. KMTech publishes Shadow AI guidance specific to Legal (covering VLSB+C, LPLC and OAIC obligations) and Financial Services (covering ASIC and APRA obligations), linked in the industry guidance section above. Every other industry is covered by the general AI Governance Checklist and the What Is Shadow AI guide.

Does managing Shadow AI mean banning AI tools?
No. Effective Shadow AI governance gives a business visibility and control over AI use rather than prohibiting it. Staff can keep using approved AI tools productively while sensitive data, unapproved platforms, and risky behaviours are identified and managed.

How common is Shadow AI use in Australian businesses?
Independent research indicates the large majority of employees already use AI tools at work, and a significant proportion of large organisations report they lack full visibility into how those tools are being used across their workforce.

More on Web Filtering and Shadow AI from KMTech

Everything on this topic, in one place.

Last updated:

Related Stories

How to Choose a Cyber Security Provider in Australia: 15 Expert Tips

A practical checklist for IT leaders and executives comparing managed security providers

Kaine Mathrick Tech blog banner on navigating Australian cyber security and privacy compliance, featuring a workplace presentation with a security dashboard in the background.

Navigating Australian Cyber Security & Privacy Compliance

This guide helps executives and IT leaders distinguish what is mandatory (the Privacy Act 1988, sector-specific regulations), what is strongly recommended (the ACSC Essential Eight, ISO/IEC 27001, NIST CSF), and where risk transfer mechanisms like cyber insurance fit into a holistic strategy.

In-House vs Outsourced Cyber Security: A Decision Guide for Australian CISOs

Compare control, cost, 24/7 coverage and compliance to choose the right security model for your organisation.

Want to be part of the crowd?

html