Transaction Monitoring Alert Redaction with anonym.plus

Clear customer identifiers from a monitoring flag before you tune rules or train.

A transaction monitoring alert marks a pattern your AML controls must catch under the ongoing-monitoring duty in MLR 2017. anonym.plus removes the customer's name, account, and amount from that flag on your device. The rule logic and pattern stay clear while the private data goes.

When this applies

A model team studies past hits to cut false positives. You give them a cleaned set that keeps the signal but not the customer.

How anonym.plus handles it

  1. Open the export in anonym.plus on your device.
  2. The tool flags the name, account, and amounts.
  3. Local OCR reads a scanned printout if attached.
  4. Keep the rule ID and trigger logic.
  5. Swap each identifier for a label.
  6. Save the clean copy locally.

What you need to provide

PII & financial identifiers detected

Categoryanonym.plus entity typeExample
NamesPERSONOmar Reyes → [CUSTOMER]
FinancialUK_BANK_NUMBERacct 7782 → [ACCOUNT]
MoneyMONEY£9,900 x4 → [AMOUNT]
IdentifiersUK_NINOQQ 20 46 71 C → [NINO]
DatesDATE_TIMEburst 03/2026 → [DATE]
ContactPHONE_NUMBER+44 117 555 9081 → [PHONE]

Compliance achieved

Anonymise monitoring alerts offline — see plans & start free →

Limitations & cautions

Your controls must retain the raw records for review. Clean only copies used to tune models or train staff. A rare amount-and-date pattern can still hint at one account, so review what stays.

Frequently asked questions

Can I redact the record my controls keep?

No. Keep the raw evidence for any review. Clean a copy for model tuning or training instead.

Will the rule logic survive?

Yes. Allow-list the rule ID and trigger fields so the signal stays while customer data is removed.

Is the data uploaded anywhere?

No. The tool is offline, so a live flag stays on your machine.