embedding-attack-security
CommunitySecure embeddings against poisoning and leakage
Software Engineering#inversion#access-control#poisoning#vector-databases#data-privacy#embedding-security#retrieval-security
Authormaruakshay
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Vector-space retrieval systems are vulnerable to poisoning, inversion, and cross-tenant leakage when embeddings are not properly guarded. This Skill provides a defense-in-depth blueprint for auditing and hardening embedding pipelines.
Core Features & Use Cases
- Threat modeling and control lenses for ingestion, storage, and access of embeddings.
- Concrete checks for proximity analysis, metadata governance, and index versioning.
- Use Case: Security engineers harden a document-embedding index used across tenants and teams.
Quick Start
Run an embedding proximity check before indexing external content to block vector poisoning.
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: embedding-attack-security Download link: https://github.com/maruakshay/mii-ai-security/archive/main.zip#embedding-attack-security Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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