model-supply-chain

What problem does it solve?

This Skill enables comprehensive security assessment of AI/ML model supply chains, ensuring integrity, provenance, and trustworthy deployment.

Core Features & Use Cases

• Supply Chain Verification: Analyzes model download sources, checksum validation, and origin authenticity.
• Data Lineage Review: Assesses training data sources, versioning, and governance practices used during model development.
• Pipeline Security Check: Evaluates fine-tuning and training pipeline controls, reproducibility, and attestation mechanisms.
• Dependency Analysis: Reviews inference environment dependencies for vulnerabilities and deserialization risks.
• Documentation Evaluation: Checks for presence and completeness of model cards to inform deployment decisions.
• Backdoor Pattern Detection: Provides guidance on identifying potential embedded malicious behaviors or manipulation.
• Use Case: Conduct security assessments of new models before production deployment to prevent supply chain attacks.

Quick Start

Review the model's provenance, verify integrity checks, and audit training pipelines to ensure supply chain security.