LangChain Agents Tutorial #3 : PII Middleware -Protect Sensitive Data in AI Agents
About this lesson
Learn how to secure sensitive patient data using LangChain's PII Middleware! In this comprehensive tutorial, I'll show you how to detect and handle Personally Identifiable Information (PII) like emails, phone numbers, and SSNs in AI agent conversations. 🔐 What You'll Learn: What is middleware and why it's essential for AI security Setting up PII detection with LangChain Custom detection patterns using regex and functions Different handling strategies: mask, hash, redact, and block Real-world healthcare application example HIPAA-compliant data processing techniques 💻 Technologies Covered: LangChain Agent Framework PII Middleware Configuration Python Custom Detectors ChatGroq/OpenAI Integration Healthcare Data Security 🎯 Perfect For: Healthcare developers, AI engineers, compliance teams, and anyone building secure applications with sensitive data. 📂 Code Repository: [Your GitHub Link] ⏱️ Timestamps: 0:00 - Introduction to PII Middleware [Add your timestamps as needed] 🔔 Subscribe for more LangChain tutorials and AI development best practices! #LangChain #AIAgents #DataPrivacy #Python #MachineLearning #Healthcare #HIPAA
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