Shadow AI in the Workplace and Data Risks

⏱️ Reading time: 9 min · 📁 Category: Artificial Intelligence & Data Security

Shadow AI in the workplace and data risks (2026 guide)

Shadow AI refers to employees using AI tools without the company’s knowledge or oversight for
data processing, content creation or analysis. Although often motivated by efficiency,
when uncontrolled it poses serious risks relating to KVKK, trade secrets and data security.

Employees now incorporate tools such as ChatGPT and Copilot into their daily workflows.
However, the data uploaded to these tools may be customer information, contracts, financial data, or in-house documents.
This can lead to an inadvertent data leak.

Short answer: Uncontrolled Shadow AI use creates a risk of transferring internal company data to third-party systems
and breaching KVKK. What is Shadow AI?

Shadow AI is employees’ individual use of AI tools
that have not been approved by IT or management. It is the AI equivalent of the traditional concept of “shadow IT”.

The most common examples are:

• Entering customer data into ChatGPT
• Analysing contracts with AI
• Uploading internal correspondence to AI tools
• Sharing financial data for analysis

Why is Shadow AI risky?

The main problem with Shadow AI is the loss of control over data flows.

1. Personal data breach

Employees uploading customer data to AI systems may breach KVKK.

2. Disclosure of commercial secrets

Company strategies, contracts and internal information can be transferred to third-party systems.

3. Loss of data control

It may be unclear where data entered into an AI system is stored and how it is processed.

4. Legal responsibility

In the event of a data breach, responsibility lies directly with the company.

5. Cyber security risks

Uncontrolled use of tools increases the risk of data leaks and attacks.

B10 insight: Shadow AI is a problem of
uncontrolled data use, rather than technology. How can Shadow AI be detected?

This use often goes unnoticed, but certain signals can help identify it:

Unauthorised application use

Employees using unapproved AI tools.

Outbound data traffic

Unusual transfers of data outside the company.

Changes in business processes

Unexpected gains in speed or a different style of content creation.

Recurring content patterns

AI-generated text patterns.

Practical reality: Employees will not stop using AI;
it therefore needs to be managed rather than prohibited. How can Shadow AI be brought under control?

Managing Shadow AI risk requires a multilayered approach:

Create an AI use policy

Clearly specify which tools may be used and which data may be shared.

Classify data

Identify which data is sensitive.

Provide employee training

Explain AI use risks to employees.

Provide approved AI tools

Provide secure alternatives to uncontrolled use.

Set up logging and monitoring systems

Monitor data flows.

Apply data anonymisation

Provide AI systems with anonymised data wherever possible.

Shadow AI under KVKK

Shadow AI use poses serious risks under KVKK:

• Personal data may be processed without permission
• Data can be transferred abroad
• Data security may be breached

Therefore, companies are obliged to control the use of AI by employees.

Most frequent mistakes Banning AI use altogether

This approach does not work; employees continue using it in secret.

Not creating a policy

Uncertainty creates risk.

Not classifying data

It is unclear which data is critical.

Not establishing controls

Usage is not monitored.

B10’s approach: Shadow AI is a risk to manage

At B10 Digital Agency, we view Shadow AI use not as a threat,
but as a process that offers advantages when managed correctly.
We structure the process around policy development, data management,
technical controls and training
as complementary layers.

Controlled AI brings efficiency; uncontrolled AI creates risks.

Conclusion

Shadow AI use is inevitable today.
However, if poorly managed, it creates serious data and legal risks for companies.

The right approach is not prohibition, but
a controlled and secure model of use.

Let’s build a safe AI use model for your company