Databunker is a super-fast, open-source vault developed in Go for secure storage of sensitive personal records. Protect user records from SQL and GraphQL injections with a simple API. Streamline GDPR, HIPAA, ISO 27001, and SOC2 compliance.
Personally Identifiable Information (PII) tokenization is a security technique that replaces sensitive data with unique identification symbols. These symbols, or tokens, retain all the essential information about the data without compromising its security. PII tokenization is crucial for:
Databunker is an innovative open-source project that redefines database security, particularly for storing and managing sensitive information like PII, PHI, PCI, and KYC data. Here’s how Databunker can help with PII tokenization and secure storage:
Starting Databunker in Dev Mode
To start Databunker for local testing, use the following Docker command:
docker run -p 3000:3000 -d --rm --name databunker securitybunker/databunker demo
This command starts a local container with a DEMO
root access key, suitable for development and testing purposes.
Saving User PII
To save a user record (PII) in Databunker:
curl -s http://localhost:3000/v1/user -X POST -H "X-Bunker-Token: DEMO" \
-H "Content-Type: application/json" \
-d '{"first":"John","last":"Doe","login":"john","phone":"4444","email":"user@gmail.com"}'
This API call returns a user token in UUID format, which can be stored in your regular database as a reference.
Retrieving User PII
To retrieve a user record using the token:
curl -s -H "X-Bunker-Token: DEMO" -X GET \
http://localhost:3000/v1/user/token/f8a1b0d2-5e47-11ef-a729-32e05c6f6c16
You can also retrieve user records by email, login, or phone number using similar API calls.
Databunker offers a robust solution for PII tokenization and secure storage, addressing many of the shortcomings of traditional database security methods. By implementing Databunker in your project, you can significantly enhance your data protection measures, simplify compliance efforts, and reduce the risk of data breaches.
Perfect for small teams with limited resources
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