Anonymize CIP Records for Bank BSA Audit and QA – CCPA/HIPAA-compliant de-identification per 31 CFR §1020

Bank Customer Identification Program records maintained under 31 CFR §1020 document the identity information collected and verified at account opening, including the verification method, document type, and risk score assigned to each new customer. anonym.legal pseudonymizes personal identifiers in CIP records so BSA auditors and quality-assurance teams can assess CIP completeness and verification accuracy without processing actual customer identity data.

When this applies

Apply this workflow when CIP records are reviewed by internal BSA audit functions or external examiners during pre-examination mock reviews, and the reviewing party requires the procedural CIP record rather than the real identity of the specific customer.

  1. Upload CIP records — individually or as a batch export — to anonym.legal in PDF, CSV, or DOCX format.
  2. The engine detects customer names, dates of birth, addresses, Tax Identification Numbers, and identity document type and reference number.
  3. Each customer is assigned a consistent pseudonym applied across all fields in the CIP record.
  4. Verification method, document-type classification, verification date, and risk score are preserved in plain text.
  5. A reversible mapping table is encrypted and stored with US data residency.
  6. Export pseudonymized CIP records for audit use; retain originals in your BSA recordkeeping system for five years after account closure as required under 31 CFR §1020.220.

What you provide

  • CIP records in PDF, CSV, or DOCX format
  • Batch export from your bank's CIP-tracking system (if applicable)

Limitations & cautions

  • Regulatory examination of CIP records requires re-identified originals; pseudonymized records are for internal audit and QA only.
  • The tool does not evaluate whether the identity documents verified meet FinCEN's documentary or non-documentary verification standards.
  • CIP records for non-individual account holders (trusts, corporations) contain personal data for authorized signers; those individuals are pseudonymized automatically.
  • The five-year record-retention obligation under 31 CFR §1020.220 applies to original CIP records — not pseudonymized copies.

FAQ

Does this workflow cover CIP records for all account types or only new consumer accounts?

The workflow applies to CIP records for all account types covered by 31 CFR §1020, including consumer, business, and fiduciary accounts. CIP records for each account type preserve their structural classification in the pseudonymized output.

Can pseudonymized CIP records be used to test a new account-opening platform?

Yes. Pseudonymized CIP records that preserve verification method, document type, and risk-score fields are suitable for system testing and data-migration validation without introducing real customer data into test environments.

Are non-documentary verification notes included in the pseudonymization?

Yes. Non-documentary verification notes that reference specific customer information — such as credit bureau inquiry results tied to a named individual — are detected and pseudonymized.

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.