What is the primary problem PrivacyScrubber solves?
PrivacyScrubber automatically detects and sanitizes personally identifiable information (PII) in prompts, code, and documents before they are sent to large language models (LLMs). It prevents sensitive data from leaving the user's device by processing everything 100% locally in RAM. This addresses the risk of accidental data exposure to AI services like ChatGPT, Claude, and Gemini.
What features, surfaces, and integrations does PrivacyScrubber offer?
PrivacyScrubber offers a web application, a Chrome Extension described as a 'Client-Side AI Gateway', an MCP, and an SDK. It provides 24 detection profiles for different data types, including General PII, regulatory compliance (GDPR, CCPA), and specialized industry profiles for legal, HR, finance, medical, and developer contexts. The tool features a 'Safe copy to AI' function and a 'File Sanitizer' that works 100% offline.
How is PrivacyScrubber priced or packaged?
The evidence does not contain specific information about the pricing or packaging plans for PrivacyScrubber. The provided homepage text focuses on its functionality, security features, and detection profiles but does not mention any cost, subscription models, or tiered offerings.
What is PrivacyScrubber used for and in what situations?
PrivacyScrubber is used to redact PII from text and files for privacy and compliance before interacting with AI assistants. It is suitable for situations where individuals or organizations need to share sensitive data like personal names, emails, financial records, or medical information with LLMs without compromising confidentiality. The tool provides a web app, Chrome Extension, MCP, and SDK for integration.
Who is PrivacyScrubber designed for?
PrivacyScrubber is designed for developers, data privacy professionals, and organizations that use LLMs. Its taxonomy categorization is 'Developer & AI Platform', and it offers an API, SDK, and Chrome extension specifically for PII sanitization within developer workflows before sending data to AI models.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.