By Industry
Different verticals, different regulations, different document shapes. The Philterd toolkit handles each with vertical-specific NLP lenses, policy templates, and reference architectures. Pick the page that matches your workload, or talk to us about the one we haven't written yet.
Verticals where the regulatory framework is the starting point of the conversation. Each page walks through the rule, the document shape, the reference policy, and the deployment pattern.
Healthcare and Life Sciences
HIPAA Safe Harbor · 45 CFR 164.514
Self-hosted PII and PHI redaction engineered for healthcare and life sciences workloads. Runs in your VPC; no data ever leaves your account.
Read the use case →Financial Services
PCI DSS · GLBA Safeguards
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.
Read the use case →Insurance
GLBA · NAIC Model Law · HIPAA (life/health)
Self-hosted redaction for property and casualty, life, health, and specialty insurers. Claims notes, underwriting files, broker submissions, and call-center transcripts: redacted at ingestion so analytics, AI features, and third-party data sharing happen on a clean corpus.
Read the use case →Legal and E-Discovery
FRBP 9037 · FRCP 5.2 · state court rules
Self-hosted redaction for law firms, in-house legal teams, and e-discovery platforms. Automate the rules-of-court redactions (FRBP 9037, FRCP 5.2) and put structured exemption codes into your audit trail.
Read the use case →Government & Public Sector
FOIA · NIST 800-53 · FedRAMP-adjacent
Self-hosted redaction engineered for the deployment shape government already requires: data stays inside your authorized boundary, vendor never sees the records, no third-party API path to disclose. Open source so your security team can audit the engine, not a black box.
Read the use case →Education and EdTech
FERPA · 20 USC 1232g
Self-hosted redaction for K-12 districts, universities, education service agencies, and edtech vendors. FERPA-compliant student-record handling for analytics, research, AI-tutoring features, and inter-institution data sharing: runs in your VPC, no student data sent to a third-party API.
Read the use case →Verticals defined by the workload shape rather than the regulator. These pages cut across industries; a contact-center page is as relevant to a bank as to a healthcare-tech company.
Contact Centers and Customer Support
PCI scope reduction · GLBA NPPI
Speech-to-text transcripts, chat logs, ticket bodies, and agent-assist features all swim in PII. Philter scrubs cardholder data, account numbers, and customer identifiers at the ingestion point, before they land in QA platforms, analytics warehouses, or hosted LLMs.
Read the use case →AI and Machine Learning
BAA / DPA chain · model-provider terms
Stop sensitive data from reaching LLM providers, vector stores, and training corpora. Drop-in middleware for prompts; ingestion-time redaction for RAG; pre-training data cleanup: all the patterns your security team will ask about.
Read the use case →AI Training Data and Data Labeling
Training-data privacy · consent · data residency
Models memorize what they’re trained on. Customer support transcripts, internal docs, clinical notes, legal corpora: whatever is in the training set can come back out in generation. Philter de-identifies the corpus before training; Arbiter routes edge cases to human reviewers; the labeled output is what reaches the model.
Read the use case →Philterd is engineered to be vertical-agnostic at the engine level. The same Philter and Phileas that handle clinical text handle telecom CDRs, retail loyalty data, agricultural records, manufacturing field-service notes, and anything else with PII in it. The pages above are starting points, not boundaries.
If you're in a vertical we haven't written a page for, or yours is on the page but the deployment shape doesn't match, get in touch. Most conversations end with us pointing you at the right combination of products and policies for what you're actually trying to do.