Implements secure data classification, PII redaction, and compliance workflows for Lindy AI integrations.
Lindy AI Data Handling provides a robust framework for managing sensitive information when building with the Lindy AI SDK. It enables developers to implement multi-tier data classification, automate PII detection and redaction for emails, SSNs, and credit cards, and establish secure data pipelines that prevent unauthorized data exposure. With built-in handlers for GDPR compliance—including the right to erasure and access—and automated retention management, this skill ensures your AI-driven workflows meet strict privacy and regulatory standards like GDPR, CCPA, and HIPAA.
Key Features
01Multi-tier data classification (Public to Restricted)
02Automated data retention and cleanup policies
03GDPR compliance handlers for data access and erasure
04Automated PII detection and redaction for sensitive fields
05Secure data pipeline for regulated environments
06983 GitHub stars
Use Cases
01Building HIPAA or GDPR compliant AI agents
02Redacting sensitive user information before processing AI requests
03Automating data lifecycle management for AI agent interactions
