"It's convenient," so staff enter customer data or trade secrets into external AI on their personal accounts — this is called "Shadow AI", a classic route to data leaks. On the other hand, banning AI outright leaves you behind competitors. This article, by an ISMS-certified Chiba AI firm, explains the risks of Shadow AI and how to use AI "safely, company-wide" on a private AI environment.
What is Shadow AI, and why does it happen?
Shadow AI is the state where staff use AI services the company hasn't approved or managed, on their own judgment. With ChatGPT and others now easy to use, it spreads quietly because "there are no rules" and "it's convenient and boosts efficiency."
Even without ill intent, entered information may flow outside or be used for training, risking leaks of customer or confidential data.
3 risks of leaving it unmanaged
| ① Data leakage | Risk of leaking customer PII, quotes, drawings or source code by entering them into external AI. |
|---|---|
| ② Compliance breach | Violating PII rules, NDAs or internal policies — eroding client trust. |
| ③ Uncontrolled use | No visibility into who uses what and how — neither quality nor safety is managed. |
4 measures for safe company-wide use
| ① Set use rules | Clarify forbidden inputs (PII, secrets) and define allowed scope and a review flow. |
|---|---|
| ② Private AI environment | Use a corporate plan where input isn't used for external training, or a closed in-house AI environment. |
| ③ Access control & logs | Manage users and permissions, keep usage logs, and handle leaver permissions. |
| ④ Education & embedding | Share why it's risky and how to use it via training, embedding safe use across the company. |
"Protect while you use" with ISMS know-how
MRI Inc. holds the international information-security standard ISMS certification (ISO/IEC 27001). Using a third-party-certified information-management framework, we help build an in-house environment where you can use AI safely while protecting confidential data. See Secure AI Environment and Why choose us.
How to start without failing
| STEP 1 | Understand reality — find out who uses what AI inside the company |
|---|---|
| STEP 2 | Set rules — define forbidden inputs, allowed scope and a review flow, minimally |
| STEP 3 | Provide a safe environment — adopt a corporate/private AI environment |
| STEP 4 | Educate & operate — embed via training and improve while watching logs |
For the big picture, see SME AI adoption — where to start? 5 steps.
Worried about cost? There are subsidies
Building a secure AI environment can qualify for national digitalization/AI-adoption grants (incl. security-focused categories). See 2026 subsidies for SMEs in Chiba adopting AI.
How should you organize AI use?
Related:
・SME AI adoption — where to start? 5 steps
・2026 subsidies for SMEs in Chiba adopting AI
* This article reflects general information as of June 2026. Check each AI service's latest terms for data handling. Check official sites for subsidy requirements and deadlines.