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Privacy AI
Compliance
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Open Source Software
Privacy AI
Compliance
Consulting
Docs & Support
Blog
Talk to an Expert

Compliance and Trust

We believe that data utility and data privacy are not mutually exclusive. Our suite is engineered to give you complete control over your sensitive information without ever leaving your infrastructure.

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Philterd provides a zero-trust architecture for HIPAA, GDPR, and CCPA compliance. Our hybrid PII discovery engine operates entirely within your infrastructure, ensuring 100% data sovereignty with no external API dependencies or third-party data training.

Hybrid Intelligence for HIPAA De-identification

To ensure maximum reliability, we utilize a hybrid approach to satisfy HIPAA Safe Harbor requirements. By combining high-speed pattern matching for structured identifiers with specialized AI models for other context, our system captures all 18 protected identifiers. This dual-layered strategy allows healthcare and life sciences organizations to automate the de-identification of massive datasets, promoting 45 CFR § 164.514 compliance while preserving the data's critical utility for research and innovation.

The Zero-Trust Architecture

Your Data. Your Infrastructure. Total Sovereignty.

Most redaction solutions require a trade-off between intelligence and privacy, forcing you to send sensitive data to third-party APIs for processing. We remove this risk with a privacy-first architecture designed for zero-trust environments.

  • Local Execution: Our AI models and processing engines run entirely within your own VPC or on-premise hardware. No sensitive data ever leaves your secure perimeter.
  • Air-Gapped Ready: Engineered for high-security sectors, the Philterd suite can operate in completely offline environments with no outbound internet dependency.
  • Zero Data Retention: We do not and cannot see your data. Our tools process information in-memory, ensuring that your raw inputs are never logged, stored, or used to train our models.
  • Immutable Compliance: By keeping the entire PII lifecycle from discovery to redaction local, you maintain a clean chain of custody that satisfies the most stringent global security audits.

Model Integrity & Synthetic Data

High-Performance Intelligence Without Privacy Compromise.

We believe the tools used to protect privacy should be built with the highest privacy standards. Our AI model development process is designed to ensure the "brains" of our systems are powerful, ethical, and secure.

  • Privacy-First Training: We use high-fidelity synthetic data to train our models. By generating millions of realistic data scenarios from medical records to financial statements, we train our AI models to recognize sensitive entities without ever exposing it to real-world PII.
  • Zero Leakage Risk: Because our models are trained on synthetic datasets, there is zero risk of "model memorization," where an LLM might accidentally reveal sensitive training data in its output.
  • Verified Benchmarking: Every model version is rigorously tested against Philter Scope to ensure it meets our strict standards for accuracy, recall, and the reduction of false positives before it is ever released to your environment.

Need enterprise support?

Running Philter in a mission-critical production environment? We offer commercial support, custom model training, and architectural reviews to ensure your deployment is flawless.

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