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Detokenize

DetokenizeRequest

HTTPBasic

DetokenizeResponse

HTTPValidationError

Pontus makes it easy to use AI with privacy and be compliant with regulations like HIPAA, GDPR, and CCPA. Pontus is a privacy layer for your LLM interactions, ensuring trust and compliance.

Introduction

Start building privacy-safe AI in minutes

Quickstart

Why Pontus?

We will walk through how to use personalized email marketing without using PII

Email Marketing

We summarize medical records with PHI information removed

Medical Record Summarization

Here we demonstrate the ability to redact and anonymize data using the Pontus Privacy Layer

Redaction

Overview of the Privacy Layer and what it can do

Privacy Layer

What differentiates Pontus' Zero Trust solution from other solutions?

Zero Trust

We will explore the process of anonymization, specifically how Pontus anonymizes data and deidentifies personal information while preserving the power of LLM (Large Language Models).

Anonymization

We will discuss the importance of auditability in the context of regulatory compliance.

Auditing

Explains the configuration options available for Pontus

Overview

Version Specification

Core components of running the application are defined in the following specification.

Application Specification

Privacy is core component and is used throughout all our flows. This spec define elements that can be configured that affect privacy.

Privacy Specification

LLM Specification defines the core external providers that one can interact with and any associated infrastructure elements.

LLM Specification

Document Store Specification

Here are some example configurations that might be useful to you.

Examples

Create Api Key

Delete Api Key

Get Audit Records

Get Audit Records For Session

Create Chat Completion

Anonymize messages being sent to llm providers, and create a audit of anonymization to be used for compliance

Authentication

Audit

LLM

Anonymization

Document Store

Health

Detokenize

Authorizations

Body

Response