Intermediate20 min4 steps4 tools

Audit API Payloads for Data Privacy

Problem this workflow solves

Before a security review or compliance audit, you need to confirm that your API is not exposing PII, credentials, or financial data in its requests or responses.

Steps

  1. 1

    Format and review your sample API payloads

    Paste the raw JSON from your API request and response samples. Pretty-print them so you can read the full structure before running automated checks.

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  2. 2

    Scan for PII and credential leaks

    Run each payload through the analyzer. It detects email addresses, phone numbers, passwords, API keys, JWTs, credit card numbers, and IP addresses — categorized by risk level.

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  3. 3

    Decode and inspect JWT tokens

    If your API uses JWTs, paste each token to verify the algorithm is not "none", check for embedded sensitive claims, and confirm expiry and scope are tightly scoped.

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  4. 4

    Anonymize sensitive test data

    Replace real PII in your sample datasets with realistic synthetic values. Use the anonymized data in tests, documentation, and audit reports without exposing real user data.

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What you achieve

You have a clear inventory of every sensitive field in your API payloads, redacted versions ready for safe sharing, and decoded JWT claims to verify no secrets are embedded in tokens.

Tools used in this workflow

1

Format and review your sample API payloads

json-formatter

Open
2

Scan for PII and credential leaks

api-payload-analyzer

Open
3

Decode and inspect JWT tokens

jwt-token-validator

Open
4

Anonymize sensitive test data

data-anonymizer

Open