Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Stop struggling with complex security setups and get straight to building with the Protegrity Developer Edition. Our demo series, hosted by Dan Johnson, shows you how to deploy a full, self-contained data protection environment on your local machine in under 15 minutes using GitHub and Docker. You will learn to master everything from PII discovery and automated redaction to advanced encryption and semantic guardrails for AI workflows.

In this installment of our AI Developer Edition Set-up series, Dan Johnson, a software engineer at Protegrity, introduces semantic guardrails. Learn how to protect your LLM and chatbot workflows from malicious prompts and insecure AI responses. As AI becomes central to enterprise operations, controlling the context of conversations is a major challenge. Semantic guardrails provide a safety layer that ensures your AI stays on topic and never leaks sensitive PII.

Dan Johnson, a software engineer at Protegrity, demonstrates how to use the Protegrity Developer Edition to identify and redact Personally Identifiable Information (PII) from unstructured text. Building on our installation guide, we walk through real-world use cases using the Python SDK and Core Edition to transform "useless" raw data into secure, usable information for your AI and ML workflows.

Move beyond outdated security models that focus on protecting data infrastructure rather than the data itself. By embedding protection that travels with the data, you create a deterministic environment where data knows its own purpose and enables innovation at scale. Visit Protegrity.com to learn more.

In this video, Dan Johnson walks through the core data protection capabilities of the Protegrity AI Developer Edition. We transition from simple data discovery and redaction to more advanced workflows: protecting, unprotecting, encrypting, and decrypting sensitive PII (Personally Identifiable Information). What You’ll Learn: Timestamps: - Exploring the Help command and parameter options Resources.

We are at an inflection point where AI, compliance, and quantum are exposing the dangerous fragility of traditional "envelope" security. The organizations that thrive in the next decade will be those that set their data free by embedding deterministic protection directly into the data itself. The organizations that lead the next decade won't just have better AI, they'll have better data security. Visit Protegrity.com to learn more.