Free DLP Test Data — Credit Cards, SSNs, PHI & More

DLP test data is synthetic sensitive information — fake credit card numbers, SSNs, PHI records, and API keys — specifically designed to trigger DLP detectors without exposing real data. It lets security teams verify that their DLP tool is scanning correctly, without putting actual customer data at risk. All data on this page is entirely fabricated and safe to use in any environment.

The standard approach: copy a test value (like a Luhn-valid credit card number or synthetic SSN from this page), paste it into the channel your DLP monitors — a Slack message, Gmail draft, Google Doc, or S3 file — and verify your tool flags it. For document DLP, upload one of the downloadable test files above. For image DLP, screenshot the credit card on this page and upload it. If your tool misses the image, Strac can fill that gap.

They are Luhn-valid — meaning they pass the checksum algorithm that card networks use to verify formatting — but they are not real cards and will be declined by any payment processor. This is intentional: DLP tools detect based on format pattern, not whether the card is active. Luhn-valid test numbers are the industry standard for DLP testing because they match exactly what a DLP detector looks for.

No. The downloadable files use SSNs with area codes in the 900–999 range, which the Social Security Administration has never assigned to any real person. The static values shown on this page (e.g. 123-45-6789) are universally recognized test patterns. Both are safe to use for DLP validation without any risk of matching a real individual's SSN.

At minimum: plain text, CSV, PDF, Word (.docx), and Excel (.xlsx). A comprehensive DLP tool should also handle ZIP archives (scanning contents), images (JPEG, PNG via OCR), and structured data in cloud storage like S3 or Snowflake. Most legacy DLP tools only scan plain text and miss sensitive data embedded in documents or images — which is where real breaches happen.

DLP testing maps directly to several compliance requirements: PCI DSS requires protecting cardholder data (credit card numbers, CVVs); HIPAA requires safeguarding PHI including patient names, MRNs, diagnoses, and insurance IDs; GDPR and CCPA cover PII like emails, phone numbers, and addresses; SOC 2 CC6.7 requires data transmission controls. The test files on this page cover all four categories.

Three things stand out: (1) Image detection — Strac is the only DLP that uses OCR to find sensitive data inside JPEG and PNG files, catching what every other tool misses. (2) Agentless deployment — no endpoint software to install; connect via API in under 10 minutes. (3) Remediation depth — beyond alerting, Strac can redact, mask, delete, or revoke access inline. It covers SaaS (Slack, Gmail, GitHub), cloud (AWS S3, Snowflake), GenAI tools (ChatGPT, Copilot), and endpoints in one platform.