Shadow AI: Finding Ungoverned AI Use
Shadow AI is the AI already in use across a business without sanction, oversight or record: staff pasting company data into personal chatbot accounts, teams automating their own corner with tools nobody approved, AI features switched on inside SaaS products nobody assessed.
Why It Accumulates
Shadow AI grows wherever personal capability runs ahead of organisational permission. At Adaca's May 2026 executive roundtables, leaders described the same pattern in company after company: staff who use ChatGPT and Claude confidently in their personal lives, with no sanctioned way to touch them at work.
The gap is widest inside the same building. Engineering functions are effectively at the building stage for their own work, shipping systems in days with tools like Claude Code, while accounts and operations sit on a single Copilot licence, and sometimes on nothing at all. The distance between the early adopters and everyone else widens rather than closes, and frustrated staff fill it with personal tools.
The full distribution is published in AI Maturity in Australian Businesses, 2026: 45 of 50 businesses at the foundations stage, and only 4 with governance in place.
How to Find Shadow AI
Shadow AI discovery combines staff interviews, a tool inventory and authorised usage records. Each source reveals part of the picture; record the gaps alongside the findings.
-
Ask Teams About AI Use
Ask which AI tools and features teams use, for which tasks and with what data. Self-reports can miss forgotten or undisclosed use.
-
Check the Tool Inventory
Check approved tools, subscriptions and AI features in existing software. Paid-tool lists miss free tools and personal accounts.
-
Review Authorised Usage Records
Review available identity, application and network logs with authorisation. Coverage depends on connected systems and monitored traffic; access to an AI service alone does not reveal prompt contents.
-
Record Findings and Gaps
Record the tool, use case, owner, data involved, approval status, evidence date and unknowns. Use the findings to prioritise governance.
Network-based tools can identify access to known AI services; Microsoft’s network-based discovery documentation distinguishes this from inspecting prompts.
Discovery informs the policies and registers described in AI Governance for Financial Services. Provider licensing, acceptable-use policies and staff training remain foundations for sanctioned use.
The Data Question
Personal AI accounts may sit outside the organisation’s approved contracts and access controls. Check the provider terms, account settings and information being submitted before deciding what use is acceptable. Discovery records what is known; it does not establish that no other tools or data flows exist.
The AI Journey assessment provides a starting point based on your answers; it does not scan systems or detect AI use. Governance support is provided with partners within relevant implementation. Discovery can lead to Adaca Autopilot workflows, custom technology through Adaca AI Pods or both.
What an Inventory Produces
A shadow AI inventory ends in a register, not a list. Each entry records the tool, the task it is used for, the person or team using it, the data that passes through it, whether the use is approved, the date the evidence was gathered and what remains unknown. Written that way, the inventory becomes the first draft of the AI Register that governance maintains, and the unknowns become the next round of discovery rather than a blind spot.
Where a business already has policies and governance documents, the AI Deployer Baseline Diagnostic at red.adaca.com assesses them against a set of responsible AI principles and controls and returns a Green, Amber or Red verdict with the gaps and the next steps. It runs without an account, and it is a useful first check before an inventory is commissioned.
Sanctioning the Alternative
Shadow AI persists while the sanctioned route is worse than the unsanctioned one. The foundations stage of the AI Journey exists to change that: an enterprise licence with your chosen provider gives staff a tool that sits inside your contract and your access controls, training shows them what it is for, and an acceptable-use policy says what may and may not go into it. Once those are in place, the inventory stops growing and the register starts to describe use that is governed rather than use that is merely known. Where further readiness analysis is needed, the optional AI Diagnostic places each department on that map and names the next move; AI Governance for Australian Businesses describes the register that follows.
Common Questions
What is shadow AI?
AI in use across a business without sanction, oversight or record: personal chatbot accounts handling company data, unapproved automation tools, and AI features enabled inside SaaS products without assessment.
Why do employees use unsanctioned AI tools?
Because they already use them confidently at home and the business has given them no sanctioned alternative. At Adaca's 2026 roundtables this was the most common pattern leaders described.
How do you find shadow AI in a business?
Combine staff interviews, a tool inventory and authorised usage records. Record each tool, its use, owner, data involved, approval status and evidence date, including gaps. No single source establishes that all AI use has been found.
Is shadow AI a security risk?
Personal AI accounts may sit outside approved contracts and access controls. The risk depends on the provider terms, account settings and information submitted. Discovery records known use and gaps; it does not establish that no other tools or data flows exist.
What happens after shadow AI is found?
The findings become the first entries in an AI Register: tool, task, owner, data, approval status and evidence date. Sanctioned alternatives are put in place under the foundations stage, and the register is then maintained as governance.
Can staff keep using the tools they chose?
Some can, once the use is recorded, the data involved is understood and the tool sits inside an approved contract and access controls. Others are replaced by the sanctioned alternative. The decision is made per tool and recorded, not assumed.
Last updated