Skill UI

This skill governs the secure ingestion and indexing of enterprise documents from diverse connectors (e.g., Google Drive, Confluence, Jira). Key functions include mandatory PII filtering (stripping emails, phones, SSNs) before indexing, preserving strict permission boundaries, and enforcing data retention policies to ensure compliance with global regulations like GDPR and CCPA.

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 checklist for ensuring Intercom integrations are robust and production-ready. It covers critical areas such as authentication, error handling (rate limits, retries), secure webhook validation, data privacy (PII, GDPR), and monitoring setup. Includes sample TypeScript and Bash scripts for pre-flight verification and graceful rollback procedures.

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.

This skill provides robust methods for handling sensitive data within Notion integrations. It systematically detects Personally Identifiable Information (PII), such as emails, phone numbers, SSNs, and credit cards, within both page properties and rich text content. Users can implement data redaction mechanisms before logging or exporting, ensuring the data handling process fully complies with major privacy regulations like GDPR and CCPA.

Implement robust data governance and security measures within Palantir Foundry. This skill guides users through PII redaction, applying data markings (e.g., CONFIDENTIAL, RESTRICTED), ensuring GDPR/CCPA compliance, and establishing automated data retention policies. It provides methods for column-level security and auditable deletion workflows for sensitive information.

This skill scans live websites or local codebases to detect all data collection signals, including cookies, analytics, forms, and third-party processors. It then generates a comprehensive, 12-section privacy policy tailored for GDPR and CCPA compliance. The system maps detected data touchpoints to specific legal bases (Consent, Contract, etc.), ensuring the resulting policy accurately reflects the actual data practices of your application or website.

A comprehensive guide for handling sensitive Personally Identifiable Information (PII) within Salesforce. This pattern implements critical compliance measures, including GDPR and CCPA requirements, data subject access requests (DSAR), the Right to Erasure, and field-level encryption using Salesforce Shield. Use this when developing features that interact with regulated user 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 comprehensive guide details how to implement robust data governance and privacy controls within Snowflake. Learn to apply column-level masking policies, row access policies, and object tagging to secure PII data. It provides practical SQL examples for achieving GDPR/CCPA compliance, managing data subject rights (access, erasure, rectification), and setting up automated data retention tasks.

This guide covers essential security best practices for utilizing Together AI's OpenAI-compatible API for inference, fine-tuning, and model deployment. It provides code examples and architectural advice on secure API key management, robust webhook signature verification, input validation using schemas (like Zod), and implementing data redaction pipelines to protect sensitive information in logs and datasets. Essential for building secure AI applications.