Datadog

What is DataFog?

Note: despite the listing name, this tool is actually DataFog, not Datadog. DataFog is an open-source, privacy-focused platform that finds and anonymizes Personally Identifiable Information (PII) — such as names, addresses, or phone numbers — in text documents, images, and audio files. It scans data for sensitive information, then either redacts it or replaces it with custom synthetic data, producing datasets that are free of PII and safe to share with trusted third parties like partners or collaborators.

Who created DataFog?

DataFog was developed to provide a privacy-focused, open-source solution for detecting and anonymizing PII across different file types.

What is DataFog used for?

• Scanning data to find sensitive information
• Redacting sensitive data to remove it
• Anonymizing PII in text, image, and audio files
• Substituting custom synthetic data in place of sensitive information
• Creating PII-free datasets for secure sharing with trusted third parties

Who is DataFog for?

Anyone working with data who needs to ensure privacy and compliance, including:

• Data scientists
• Data analysts
• Privacy officers
• Compliance officers

How to get started with DataFog?

Run the DataFog API locally with Docker:

docker run -p 8000:8000 datafog/datafog-api:latest

Once running, access the API at http://localhost:8000/docs. From there, you can scan files for PII and anonymize it by redaction or substitution with synthetic data.

More details and support are available on the DataFog Docker Hub, its GitHub repository, and the contact links provided.