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How to Protect Yourself from Data Leaks When Communicating with Artificial Intelligence

A practical guide for users, businesses, and IT teams

Artificial intelligence has become an integral part of work and everyday life. ChatGPT, Google Gemini, Copilot, Claude, Perplexity, and other AI assistants are used for writing texts, data analysis, programming, marketing, and managing business processes.

However, as AI adoption grows, an important question arises more often: how safe is it to share data with AI, and how can you protect yourself from information leaks?

This article is a detailed, practical guide on how to interact with AI safely—without risking personal, financial, or corporate data.

Why data leakage risks arise when working with AI

Any cloud-based AI service operates on a similar principle:

  • A user sends text, files, or code

  • The data is transmitted to the provider’s servers

  • The information may be:

    • temporarily or permanently stored;

    • logged for quality analysis;

    • used for model training (if allowed by the service policy);

    • reviewed by automated systems or human moderators.

Even if a service claims confidentiality, there is no absolute guarantee against data leaks. AI is neither a sealed safe nor a secure messenger.

Data you should never share with AI under any circumstances

Personal data

Sharing personal data with AI is one of the most common and dangerous leak scenarios.

Do not enter:

  • passport or ID details;
  • tax numbers (TIN), social security numbers (SSN);
  • home addresses;
  • phone numbers linked to a specific person;
  • logins, passwords, or verification codes.

Key principle: if data can identify a specific individual, it does not belong in AI.

Financial and payment information

AI must not be used to store or analyze:

  • bank card details;
  • account numbers;
  • online banking credentials;
  • crypto wallet seed phrases;
  • internal financial reports without anonymization.

An AI assistant is a processing tool—not a secure storage system.

Corporate and commercial data

For businesses, the risks are especially high. It is dangerous to share:

  • customer databases;
  • CRM data (including Bitrix24, Salesforce, and similar systems);
  • commercial proposals;
  • contracts and NDAs;
  • internal documentation;
  • source code containing product business logic.

Even prompts like “review this contract” or “optimize this technical specification” can lead to commercial data leakage.

How data leaks occur through AI

Common leakage scenarios include:

Conversation storage

Many services retain chat histories for debugging and quality improvement.

Use of data for training

If the user has not disabled relevant settings, data may be used to train models.

Human factor

Some requests may be reviewed by employees of the service provider.

External incidents

Any cloud service is theoretically vulnerable to hacking and breaches.

Can ChatGPT, Gemini, and other AI tools be trusted?

Modern AI can be trusted as a tool, but not as a confidential communication channel.

Even when “do not use data for training” settings are enabled, the following may still exist:

  • technical logs;
  • backups;
  • regulatory and legal requirements.

Therefore, the core rule remains unchanged:
if a data leak could cause harm, it should not be shared with AI.

How to stay safe when using AI: practical rules

1. Never use real data

Replace names, company titles, numbers, and details with abstract placeholders.

2. Always anonymize information

AI does not need a real client, contract, or employee—it needs a template.

3. Do not upload original documents

Before analysis, remove:

  • bank details;
  • signatures;
  • stamps;
  • contract numbers.

4. Use local AI for sensitive data

For code, logs, and internal documents, local LLMs (Local AI models) that do not send data to the cloud are preferable.

5. Disable data usage for training

Always check privacy and data settings in AI services.

6. Separate context from data

Do not send all information in a single prompt—minimize transmitted data.

7. Use enterprise AI solutions

Corporate versions provide SLAs, legal guarantees, and data isolation.

8. Never share API keys or tokens

Not even temporarily or “just for testing.”

9. Do not treat AI as a “secure interlocutor”

AI does not keep secrets—it processes text.

10. Train employees on AI usage rules

Most leaks occur due to human error, not technology.

Frequently Asked Questions

No—but the service through which you interact with AI can become a source of leakage.

It depends on the platform and your privacy settings.

Yes, with proper processes, anonymization, and enterprise-grade solutions.

Yes, if the code is proprietary and public cloud AI is used.

Conclusion

Artificial intelligence is a powerful tool—but not a secure data transmission channel.

Safe interaction with AI is based on a simple principle:

  • Do not share with AI any information whose leakage could harm you.

When basic rules are followed, AI remains an effective assistant rather than a source of risk.