Secure Your
AI Pipeline, Instantly
Proven at Global Scale
The same 10.1+ architecture that safeguards terabytes of financial, healthcare, and telecom data globally is now available for every builder—free, local, and open.
Jumpstart Secure AI & Analytics Workflows
Get hands-on fast with ready-to-run repos: redact sensitive text, tokenize records, and explore Semantic Guardrails for GenAI. Each repo is self-contained and designed for seamless integration into your data pipelines.
Developer
Edition Core
Spin up Protegrity in Docker with a single repo. Evaluate tokenization, masking, and discovery locally—no enterprise setup required.
Find & Protect
sample app
Run prebuilt code to discover and protect sensitive data instantly. Test tokenization and masking in real-world workflows on day one—no configuration needed.
Python SDK
Install via pip install protegrity-developer-python and bring enterprise-grade protection into any script, notebook, or pipeline in minutes.
From overview to “hello world” — all-in-one place
Drill into the docs when you need more than sample code. These guides walk you through architecture, installation, and a working sample app—then back you up with troubleshooting tips.
Introduction &
Architecture
Understand how the Developer Edition fits together — components, data flow, data discovery, and data security.
Install &
Configure
Step-by-step instructions to pull the Docker images, install python modules, and get started with sample applications.
Run the
Sample app
Follow the walkthrough sample apps to see enterprise-grade data privacy in action.
Find. Protect. Govern.
From a Single API
Use one interface to discover, protect, and govern sensitive data across prompts, training sets, RAG pipelines, and outputs—all aligned to enterprise policies you can take straight to production.
One-Command Setup
Run docker compose up and bring the full Developer Edition stack online in minutes. Clone, launch, and start securing data in your local workflow instantly.
Semantic Guardrails
Add real-time defenses for GenAI. Guard prompts, training data, retrieval sources, and outputs by detecting and blocking risks like prompt injection or PII leakage before they appear.
Built to Scale with You
Developer Edition uses the same APIs and policy framework designed for production environments. As your needs grow, the protections you build and test locally can extend into larger workflows—without rewriting code or changing architecture.
THE LATEST FROM PROTEGRITY
Smarter Systems Safer Data – Key Insights From Our Latest Security Perspective
The external piece argues that compliance alone does not equal security and that organizations should simplify architectures, push protections closer to the data, and adopt proactive defenses. Below is a…
CORRECTING and REPLACING Protegrity Releases Free Developer Edition on GitHub for GenAI Privacy Innovation
Protegrity announced the free Developer Edition, a lightweight, containerized toolkit aimed at helping developers, data scientists, and security practitioners embed data protection and GenAI guardrails into Python workflows without standing…
Stellantis Confirms Salesforce-Linked Data Breach: What Happened and How to Reduce Risk
According to recent media reports, global automaker Stellantis confirmed unauthorized access to a third-party service provider’s platform supporting North American customer service, reportedly part of a broader campaign targeting Salesforce…