Skill UI

Manages data privacy compliance for HubSpot CRM, addressing global regulations like GDPR and CCPA. This tool facilitates Data Subject Access Requests (DSAR) by performing complete data exports, executing GDPR-compliant contact deletions, and implementing PII redaction for secure logging and reporting. Essential for maintaining regulatory compliance and data integrity.

Implements comprehensive data governance for Intercom integrations. This skill handles GDPR/CCPA compliance requirements, including executing Data Subject Access Requests (DSAR), performing contact deletion, bulk message export, and PII redaction in logs. It is essential for maintaining user privacy and ensuring legal data retention compliance.

A comprehensive solution for managing Personally Identifiable Information (PII) and ensuring compliance with global privacy regulations like GDPR and CCPA within Klaviyo. This skill guides developers on implementing critical functions, including the 'right to erasure' (profile deletion), handling Data Subject Access Requests (DSAR) by exporting all user data, and implementing PII detection and redaction for safe logging practices. It ensures that data handling processes meet legal standards.

A comprehensive guide detailing best practices for securing MindTickle integrations. It covers critical technical requirements including using `Company-Id` for multi-tenant isolation, implementing HMAC-SHA256 verification for webhooks, strict SCIM payload validation, and PII redaction. Essential for developers ensuring compliance with GDPR and SOC2 standards when handling sensitive employee and HR data.

A comprehensive guide for developers building apps on Shopify, focusing on mandatory privacy compliance (GDPR/CCPA). Learn how to correctly manage sensitive customer PII, implement critical privacy webhooks (data request, redaction), enforce data minimization principles, and establish robust data retention policies required for App Store submission and legal compliance.

This module provides a lazy adapter registry to seamlessly integrate OpenMed's clinical PII detection with major NLP frameworks like Microsoft Presidio, spaCy, and LangChain. It allows users to use OpenMed for enhanced PII recall, merge spans, or implement on-device PHI redaction guardrails without rewriting entire pipelines.

Use openmed.extract_pii to detect and retrieve specific types of Protected Health Information (PHI) or Personally Identifiable Information (PII) spans (names, dates, MRNs, etc.) from clinical text. Unlike deidentification, this function returns the original text and the detected spans, allowing users to audit, preview redactions, normalize labels, or route spans to a custom anonymizer without altering the source data. It is ideal for pre-processing and policy enforcement.