Anonymize KYC Onboarding Documents for Internal Review – CCPA/HIPAA-compliant de-identification per 31 USC §5318

Know-Your-Customer onboarding documents gathered under BSA AML program requirements at 31 USC §5318 contain government-issued identity evidence, risk-rating decisions, and account profile data linking personal information to specific customers. anonym.legal pseudonymizes those identifiers so compliance teams can review onboarding quality and risk-rating consistency without processing customer personal data in non-essential workflows.

When this applies

Use this workflow when KYC onboarding files are reviewed by compliance quality-assurance teams, BSA auditors, or external consultants assessing whether the institution's CIP and AML program procedures align with 31 USC §5318 requirements and FinCEN guidance.

  1. Upload the KYC onboarding file — including identity documents summary, risk-rating decision, and account opening checklist — to anonym.legal.
  2. The engine detects personal identifiers across the file: customer name, address, date of birth, government ID number, SSN, phone, and email.
  3. Each customer and any beneficial owner or authorized signer referenced in the onboarding file is pseudonymized consistently throughout all document sections.
  4. Risk-rating outcome, onboarding-stage timestamps, product type, and AML program procedural checkboxes remain in plain text.
  5. A reversible mapping table is encrypted and stored with US data residency.
  6. Export the pseudonymized onboarding file for quality-assurance or training distribution.

What you provide

  • KYC onboarding checklist and decision record
  • Identity-verification summary (document types, verification outcome)
  • Initial risk-rating rationale document

Limitations & cautions

  • Regulatory examinations and law enforcement requests require re-identified originals; pseudonymized files are for internal review only.
  • Scanned identity documents with low OCR quality may produce incomplete entity detection; manual review of the pseudonymized output is recommended.
  • The tool does not assess whether the KYC procedure meets FinCEN's minimum AML program requirements under 31 USC §5318(h).
  • State-level money-transmitter identity-verification requirements are out of scope; this workflow addresses federal BSA obligations only.

FAQ

Can pseudonymized KYC files be used to train new BSA compliance officers?

Yes. KYC onboarding files pseudonymized to remove customer identifiers while preserving risk-rating rationale and procedural checklists are effective training materials for BSA compliance officers.

Does the engine handle joint-account onboarding files with multiple applicants?

Yes. Each named applicant receives a distinct, consistent pseudonym throughout the file, preserving the multi-applicant account structure.

Are authorized signers on business accounts pseudonymized along with the beneficial owners?

Yes. All named natural persons in the onboarding file — beneficial owners, authorized signers, and control-prong individuals — are pseudonymized with distinct pseudonyms.

What file formats are supported for KYC onboarding documents?

anonym.legal supports PDF, DOCX, and plain-text formats. For scanned documents, built-in OCR pre-processing extracts text before entity detection is applied.

Financial Services Compliance

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.