Gateway export de-identification is the removal of personal account data from a payment export under PCI-DSS v4.0. The standard limits how stored account numbers persist. anonym.plus marks each value on your device, so the dataset stays analyzable while buyer data is shielded.
When this applies
A gateway file drops thousands of rows with account, email, and amount columns. You strip those identifiers under the standard before any analytics load.
How anonym.plus handles it
- Open the file in anonym.plus on your device.
- The tool maps columns of account, email, and name data.
- It flags each sensitive cell across the rows.
- Keep numeric amount and currency columns for analysis.
- Apply Replace with a steady label per column.
- Save the de-identified copy locally.
What you need to provide
- The export (CSV, JSON, or TXT).
- An operator (Replace keeps columns analyzable).
- Optional name map for a reversible join later.
PII & financial identifiers detected
| Category | anonym.plus entity type | Example |
|---|---|---|
| Account | CREDIT_CARD | pan column → [CARD] |
| Contact | EMAIL_ADDRESS | email column → [EMAIL] |
| Names | PERSON | name column → [BUYER] |
| Bank | IBAN_CODE | iban column → [IBAN] |
| Location | LOCATION | billing city → [CITY] |
| Amount | MONEY | amount column → kept |
Compliance achieved
- Limits stored account data per PCI-DSS v4.0.
- Keeps numeric columns intact for downstream analytics.
- Offline work keeps the dataset off any server.
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Limitations & cautions
A reversible name map can re-link rows if it is kept, so turn it off for true anonymity. A rare amount or timestamp combination can still single out a buyer; consider that before release.
Frequently asked questions
Can I keep the amount and currency columns?
Yes. Numeric columns stay so analysis still works. Only the account, name, and contact cells are de-identified.
Is the result reversible?
Only if you keep the name map. Turn it off when you need true anonymity with no path back to a buyer.
Does the export get uploaded?
No. The app is fully offline, so the dataset never leaves your machine.