privacy-research-engineer-safeguards
CommunitySafeguard privacy research with rigorous guardrails.
Authordaemon-blockint-tech
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provides a structured framework for privacy research engineering safeguards, including PII detection, redaction, de-identification evaluations, memorization risk studies, privacy benchmarks, and logging/retention minimization guidance to support safe AI governance.
Core Features & Use Cases
- PII detection and redaction research to quantify recall/precision across locales.
- Memorization and extraction risk studies, including threat modeling and memos.
- Privacy benchmarks and labeled corpora design, with governance handoffs to production.
Quick Start
Run a controlled privacy detector evaluation to measure PII recall and redact sensitive content in a sample dataset.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: privacy-research-engineer-safeguards Download link: https://github.com/daemon-blockint-tech/Agentic-Enteprises-Skill/archive/main.zip#privacy-research-engineer-safeguards Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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