Financial Services

PII Redaction for Financial Services

Self-hosted redaction for banks, fintech, payments, and contact centers. Reduce PCI DSS scope, meet GLBA Safeguards Rule requirements, and keep customer financial data inside your perimeter.

Or deploy Philter yourself →

The financial-services PII problem

Financial services has two overlapping privacy regimes: PCI DSS (for cardholder data) and GLBA (for the broader category of Nonpublic Personal Information). Each has different triggers, different scope, and different penalties. Both pull every system that touches the relevant data into compliance audit scope.

The cost difference between a 4-system PCI scope and a 14-system PCI scope is enormous, both in audit fees and in the operational tax of running every one of those systems to PCI standards. The same is true at smaller scale for GLBA. The lever to pull is the same: remove the sensitive data from systems that don’t need it, before it ever lands there.

How Philterd handles finance

PCI scope reduction

PAN masked to last-4 visible per PCI DSS Req 3.4. CVV/CVC/CSC fully redacted per Req 3.2. Apply before logs, CRM tickets, and call-center transcripts land in downstream systems to de-scope those systems from your audit.

GLBA NPPI handling

Customer names, SSNs, account numbers, routing numbers, loan IDs: the full Nonpublic Personal Information surface area under 15 USC 6801-6809. Ready-made policy in the library.

Call-center transcripts

Speech-to-text transcripts from Genesys, NICE, Verint, Five9 contain spoken-aloud PANs, CVVs, and SSNs. A purpose-tuned policy handles the spoken-pattern variants of each.

Luhn-validated PAN detection

Philter validates credit-card sequences against the Luhn checksum before treating them as PANs, dramatically reducing false positives on order IDs, tracking numbers, and reference codes.

Fraud-model training data

Train fraud and credit-risk models on real transaction data with NPPI safely redacted. Differential privacy via Philter Diffuse for aggregate reporting that won’t leak individuals.

Stays in your VPC

Self-hosted in your existing AWS, Azure, or GCP environment. No cardholder data sent to a third-party API; no new vendor in your audit footprint.

Try it live

Try it out! Select one of the industries and click Redact to redact the text.

Input

Patient Margaret Collins, born on 04/12/1978, with SSN 523-88-4021 was admitted to the ER at St. Luke’s Medical Center. Her primary care physician, Dr. Howard Banks, can be reached at hbanks@stlukesmed.org or (555) 342-9187.

Redacted output

The redacted text appears here after you click Redact.

Do not enter PHI or PII.

Ready-to-use policies

Free, ready-to-use policies from the open source policy library. Download and load into your Philter instance.

Finance v1.0.0

PCI DSS Scope Reduction

Strip cardholder data (PAN, CVV, expiration) from logs, transcripts, and tickets to reduce PCI DSS scope per Requirement 3.4.

PCI DSScardholder dataPANscope reduction

Finance v1.0.0

GLBA Nonpublic Personal Information (NPPI) Redaction

Redact Nonpublic Personal Information (NPPI) from financial customer records under the Gramm-Leach-Bliley Act (15 USC 6801-6809).

GLBANPPIfinancial privacySafeguards Rule

Contact Center v1.0.0

Contact Center Call Recording Transcripts

Strip cardholder data and PII from contact-center call transcripts — primarily PAN, CVV, SSN, account numbers — to reduce PCI DSS scope and meet QA privacy requirements.

PCI DSScontact centercall recordingtranscripts

Browse all redaction policies →

Recent writing on finance

Redaction for Financial Services: PCI DSS, GLBA, and the Real-World Data Pipeline

A practitioner's guide to redacting NPPI and cardholder data in financial workflows, mapping PCI DSS, GLBA, and state requirements to the Philterd toolkit.

The TCO of "Free" Cloud PII Redaction: AWS Comprehend, Google DLP, vs Self-Hosted at Scale

Per-character SaaS pricing looks cheap at demo scale and costly in production. A TCO comparison of AWS Comprehend, Google Cloud DLP, and self-hosted Philter.

Automatically Redacting PII and PHI from Files in Amazon S3 using Amazon Macie and Philter

Use Amazon Macie to find sensitive data in S3, then automatically redact PII and PHI such as SSNs and phone numbers from those files with Philter.

All blog posts →

Where financial-services teams start

Map your scope. Inventory every system that touches cardholder data (PCI) or NPPI (GLBA). For most teams, this is the eye-opener. The list is longer than expected.
Deploy Philter from your cloud’s marketplace into a subnet that can receive log streams, CRM exports, and call-center transcripts.
Apply the PCI scope-reduction policy at the ingestion point of every downstream system you want to de-scope. Logs to Splunk/Datadog; CRM ticket text; transcripts to QA platforms.
Document the data flow showing PAN cannot re-enter the de-scoped systems. Your QSA needs this for the scope-reduction argument.
Layer on GLBA for the broader customer-data systems: analytics warehouses, fraud-model training corpora, third-party-shared records.

Common deployments

1. Contact-center scope reduction. A typical contact center has 5-10 systems in PCI scope because call-recording transcripts containing spoken-aloud PANs land in QA platforms, CRMs, and analytics warehouses. Pre-ingest redaction via Philter at the transcript-generation step takes most of those systems out of scope, with documented savings well into the six figures per year in audit and remediation costs.

2. Fraud and credit-risk model training. Real transaction data is the training fuel; NPPI is the toxic byproduct. Apply the GLBA NPPI policy at the ingestion step into your ML data lake, and your data scientists work on a corpus that won’t fail a privacy audit.

3. Migration from AWS Comprehend or Google DLP. Teams hit a pricing ceiling on per-character-billed PII APIs as their volume grows. Philter on the AWS Marketplace bills per instance-hour: predictable at scale, often a 10× cost reduction at production volumes. The TCO comparison post has the worked numbers.

4. Accounting and tax practices. Returns and statements carry Social Security and account numbers that often need to come out before a document goes to a client, lender, or other advisor. Philter One, coming soon, is a small computer that redacts them on the practice’s own network, with a person reviewing every document.

What teams need to be careful about

De-scoping isn’t automatic. Removing PAN from a system doesn’t automatically take it out of PCI scope. You also need documented data flow showing PAN cannot re-enter, segmentation controls, and periodic validation. Treat redaction as one input to scope reduction, not the whole answer.
GLBA ≠ PCI. They overlap but they’re distinct regimes with different triggers and different penalties. Most financial institutions need both policies, applied to different systems.
State law layering. California (CCPA / CPRA), Nevada (NRS 603A), New York (NYDFS 23 NYCRR 500), Massachusetts (201 CMR 17) all impose additional or stricter requirements. The library policies are federal-baseline; layer state-specific policies on top.

Build PII redaction into your finance pipeline

Audit costs are real money. Procurement contracts with new vendors are real time. Talk to the engineers who built the toolkit and get a concrete answer on whether self-hosting changes your audit math.

Or deploy Philter yourself →