Right now, someone in your business is probably using an AI tool that is yet to be company approved. They’re not necessarily doing anything wrong; they’re just trying to work faster but the data they’re feeding into that tool might be leaving your organisation entirely.
This is what is referred to as ‘Shadow AI’, and it is one of the most underestimated data privacy risks facing Australian business right now.
What is Shadow AI in the workplace?
Shadow AI is defined as any AI tool used inside a business without IT or leadership approval. More than just ChatGPT, Claude, Copilot, and hundreds of others – your marketing team uses it to write briefs, your sales teams use it to summarise client proposals, and your analysts use it to automate reporting.
None of them believe they’re doing anything wrong, and technically they’re not.
But many AI tools haven’t been vetted for privacy or security, and in many cases the customer records, contracts, and strategy documents being entered into them are going straight to external servers which your business has never audited, and has no control over.
The numbers tell the story.
- More than 1 in 3 Australian professionals are already uploading sensitive company data into AI platforms without any formal oversight,
- Nearly 1 in 3 Australian organisations have reported Shadow AI use by employees,
- 30% of those same organisations still have no formal AI strategy in place.
The gap between what your team is doing and what your governance framework covers is wider than most leaders realise.
Why Shadow AI Is a Privacy Problem
Under the Australian Privacy Act, your business is responsible for the personal data it holds, regardless of where it ends up outside of the business. If an employee pastes a customer list into an unapproved AI tool, and that data is exposed, the liability sits with your organisation.
The fact that your business didn’t know about it is not a legal defence.
The financial exposure is real. The IBM ‘2025 Cost of a Data Breach Report’ found that incidents involving Shadow AI cost businesses an average of USD $670,000 above the cost of standard breaches.
Around one in five cyber incidents globally are now linked to unauthorised AI use.
Additionally, with new Australian Privacy Principles targeting AI transparency and automated decision-making arriving in December 2026, the regulatory window to get ahead of this is closing faster than most businesses expect.
Where Businesses Should Start
Start by auditing what tools your team is already using. A clear policy on what data can enter AI platforms should be a business wide non-negotiable. And ultimately, you need to know where your personal data actually lives — because your business cannot protect what it cannot find. Governance doesn’t stop with your systems; it extends to every device and every connection your team uses.
