Who Uses PrivacyShield?
Anyone who types real data into AI chatbots needs protection. Here's how professionals across industries use PrivacyShield to work with AI safely.
Protecting patient data in clinical AI queries
A doctor pastes clinical notes into ChatGPT to help draft a referral letter. The notes contain the patient’s name, date of birth, diagnosis, medications, and NHS number.
What PrivacyShield catches
- Patient names
- Dates of birth
- Medical conditions
- Medications
- NHS/National Insurance numbers
- Addresses
- Phone numbers
Why it matters
Healthcare data is among the most sensitive PII. Under HIPAA and GDPR, sharing patient data with third-party AI providers without consent can result in regulatory action and fines.
Keeping client communications confidential
A solicitor uploads a client email and a Home Office decision letter into ChatGPT to summarize them. The documents contain client names, case reference numbers, addresses, and privileged legal communications.
What PrivacyShield catches
- Person names
- Addresses
- Email addresses
- Reference numbers
- Employer names
Why it matters
In February 2026, a UK solicitor faced a regulatory probe after admitting to uploading client documents into ChatGPT. The Upper Tribunal warned that doing so breaches client confidentiality and waives legal privilege.
Preventing API key and credential leaks
A developer pastes a configuration file into Claude to debug a deployment error. The file contains AWS access keys, a database password, and an OpenAI API key.
What PrivacyShield catches
- API keys (OpenAI, AWS, GitHub, Stripe, and more)
- Passwords
- Database credentials
- Server configurations
Why it matters
Leaked API keys can be exploited within minutes. Exposed credentials in AI training data have been extracted by researchers, making every paste a potential security incident.
Handling employee data safely with AI
An HR manager asks Gemini to help create a performance review template, pasting in examples that include employee names, salaries, job titles, and dates of birth.
What PrivacyShield catches
- Person names
- Salaries
- Dates of birth
- Ages
- Email addresses
- Employer names
- Phone numbers
Why it matters
Employee data is protected under GDPR and employment law. Sharing it with third-party AI providers without a lawful basis creates compliance risk for the entire organization.
Securing financial data in AI-assisted analysis
A financial advisor asks ChatGPT to help explain a complex transaction to a client. The prompt includes the client’s name, bank account number, credit card number, and transaction amounts.
What PrivacyShield catches
- Credit card numbers (with Luhn validation)
- Bank account numbers
- Person names
- Addresses
- Phone numbers
- Salary/income figures
Why it matters
Financial PII is the highest-value target for data breaches. A single exposed credit card or bank account number can lead to fraud, identity theft, and regulatory penalties.
Keeping personal and research data private
A university student pastes their essay draft into ChatGPT for feedback. The essay contains their full name, university, student ID, personal experiences, and references to other people by name.
What PrivacyShield catches
- Person names
- Email addresses
- Dates of birth
- Addresses
- Employer/institution names
Why it matters
Students often don’t realize that AI providers may retain and use their prompts for training. Personal details shared in essays, applications, and research notes become part of a dataset the student doesn’t control.
Want to know exactly how PrivacyShield detects and masks this data? See the full feature breakdown →
Works everywhere you use AI
PrivacyShield works on ChatGPT, Claude, and Google Gemini. All three platforms are fully supported in the free tier.
ChatGPT
chatgpt.com
Claude
claude.ai
Google Gemini
gemini.google.com
Protect your data in 10 seconds
Free forever. No account needed. Works on ChatGPT, Claude, and Gemini.
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