LangGraph Integration for Protegrity AI Developer Edition
See how Protegrity AI Developer Edition helps protect sensitive data in AI agent workflows built with LangGraph.
This demo shows how Protegrity can fit into modern AI development pipelines as both a preprocessor and postprocessor guardrail, helping teams discover, protect, tokenize, mask, and redact sensitive data before it reaches an LLM — and before responses leave the application.
In this video, you’ll learn how developers can:
- Integrate Protegrity AI Developer Edition with LangGraph workflows
- Protect sensitive data in AI agent pipelines
- Use preprocessor and postprocessor guardrail patterns
- Reduce sensitive data exposure in GenAI and LLM applications
- Build safer AI workflows with developer-friendly data protection
Explore Protegrity AI Developer Edition:
https://www.protegrity.com/developers
Learn more about Protegrity:
https://www.protegrity.com
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