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What is PromptPrivacy?

PromptPrivacy is an open-source tool designed to help you understand and monitor how AI models process and use the data you send them. When you use AI services like ChatGPT, Claude, or other language models, your prompts and conversations become training data or are stored by those services. PromptPrivacy provides visibility into this process, showing you what happens to your inputs and helping you make informed decisions about which tools to use. The tool is particularly useful for anyone concerned about data privacy when working with AI. Rather than trusting vendor privacy policies alone, PromptPrivacy lets you track actual data flows and usage patterns across different AI models. Because it's open-source, anyone can review how it works, contribute improvements, or adapt it for their specific needs.

Key Features

Data flow tracking

Monitor where your prompts go and how different AI models handle them

Multi-model comparison

See privacy practices across different AI services side-by-side

Open-source code

Review the tool's source code and contribute your own improvements

Usage analytics

Track patterns in how your data is being processed over time

Privacy policy integration

Cross-reference actual behaviour against stated privacy policies

Pros & Cons

Advantages

  • Open-source means full transparency about how the tool itself works
  • Helps you make informed choices about which AI tools to trust with sensitive information
  • Free to use with no licensing costs or subscription requirements
  • Community-driven development allows for continuous improvement and new features

Limitations

  • Requires technical knowledge to set up and use effectively for some features
  • Only as useful as the data you can actually access; some AI providers limit visibility into their processes
  • Relies on community maintenance, so updates and support may be inconsistent

Use Cases

Evaluating privacy practices before adopting a new AI tool in your organisation

Comparing data handling across multiple AI services to choose the most privacy-conscious option

Auditing your team's AI tool usage to ensure compliance with data protection policies

Understanding what happens to proprietary or sensitive information you send to AI models

Contributing to privacy research by sharing anonymised data flow insights