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Privacy Filters

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Privacy filters is an AI interface design pattern that automatically detects and masks personally identifiable information (PII) or sensitive data in AI outputs, displaying blurred, redacted, or anonymized versions. This UX pattern protects user privacy and complies with data protection regulations by preventing sensitive information from being displayed inappropriately. The AI identifies PII like names, email addresses, phone numbers, or financial information and applies visual masking or replacement. This pattern is essential for enterprise applications, healthcare systems, and any platform handling sensitive data where privacy protection is critical. It builds trust by demonstrating that the system actively protects user data.

Use Case

Essential for enterprise applications, healthcare systems, and platforms handling sensitive data where automatic PII detection and masking protects user privacy.

Examples in Wild

GleanEnterprise search toolsHealthcare AIFinancial platforms

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Pattern Description:
Interactive Demo
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User Input
My email is alex@test.com
Sent to LLM
My email is REDACTED

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