ทักษะ Claude Code สำหรับคนไทย — แปล, แคปชั่น, เรซูเม่, จดหมายราชการ, PDPA, ใบกำกับภาษี, PromptPay, เลขบัตร ปชช., วันที่ พ.ศ. — 12 skills
WordPress plugin for PDPA Consent allows you to notify to the user to accept privacy terms. Comply with Thailand PDPA law.
SOC Standard Operating Procedures — 170+ bilingual (EN/TH) vendor-agnostic SOPs, 50 playbooks, 36 Sigma rules. Build a SOC from zero.
🏆 Fast, multilingual PII detection for privacy compliance (PDPA, PDPD, PDP Law, PIPL). 9 entity types, 13+ languages, CPU-only ONNX Runtime inference.
PDPA consent form made easy 🙈 Made with Vue 3 & UnoCSS
PII masking + AES-256-GCM encryption + PIPL/PDPA/GDPR compliance reporting for cross-border data transfers. Python CLI.
🛡️ Iron Mask Proxy: High-performance PII data masking for PDPA/GDPR. Fast, lightweight, and context-aware redaction built with Rust 🦀.
Node 1: NRIC Input Sanitizer - PDPA-compliant governance control for AI systems
Local PII redaction layer for LLM prompts — detects and masks Singapore NRIC/FIN, phone numbers, emails, and configurable sensitive terms before text reaches a cloud AI. A small example of a privacy-by-design technical control for AI workflows.
A Laravel package to manage cookie consent with ease. Provides customizable banners, GDPR/CCPA compliance, and seamless integration into Laravel Blade views. Ideal for websites needing user consent for cookies and tracking scripts.
OpenAPI spec for IRIS v2.1 workflow intake — procurement, contract approvals, and compliance submissions for Malaysian enterprise and public sector.
OpenAPI integration spec for NURI — HL7/FHIR endpoint registration, webhook events, module configuration, and MOH audit export for Malaysian clinical deployments.
SEO Checklist สำหรับเว็บไซต์ไทย 2026 — ครบทุกจุด Technical, On-Page, Schema, i18n, PDPA, AI Search
台灣公路自行車賽成績開放資料集與分析儀表板 — 8 個來源正規化、PDPA 去識別化 (2009–2026, ~14.6 萬筆完賽);含唯讀 JSON API。Taiwan road-cycling race results: 8 sources normalized into one PDPA-de-identified open dataset + analytics dashboard & read-only JSON API.
Production-grade AI agent governance framework implementing the PC2E pillars (Predict, Communicate, Explain) with four core imperatives: Scalability, Security, Zero Technical Debt, and Privacy. Includes OWASP LLM Top 10 compliance, prompt injection defences, PDPA/privacy controls, and deployment guides for Cursor, Windsurf, Claude Code, and VS Code
Tokenize/de-tokenize PII gateway for LLM prompts — detects SG NRIC/FIN, phone numbers, emails, and credit card numbers, replaces them with recoverable tokens, and restores original values in LLM responses. Zero-dependency Python implementation of a Zero Trust pattern for GenAI workflows
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