data-leakage-prevention
CommunityPrevent data leakage across AI systems.
Authormaruakshay
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Data leakage prevention helps identify and mitigate the accidental or deliberate exposure of sensitive information such as secrets, PII, tenant data, embeddings, logs, traces, memory, and training artifacts across AI systems and deployment models.
Core Features & Use Cases
- Data inventory and flow mapping to locate leakage surfaces across prompts, logs, memories, and datasets.
- Threat modeling and remediation guidance including redaction, access control, and retention policies.
- Use Case: assess a multi-tenant AI service to ensure tenant data and secrets do not leak through retrieval, logging, or training datasets.
Quick Start
Audit data flows in your AI system and implement redaction and access controls to mitigate leakage.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: data-leakage-prevention Download link: https://github.com/maruakshay/mii-ai-security/archive/main.zip#data-leakage-prevention Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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