DevOps-Security-Agent-Skills/security/ai/model-supply-chain-security/SKILL.md

name, description, license, metadata

name	description	license	metadata
model-supply-chain-security	Secure the AI model supply chain with artifact signing, provenance attestation, SBOM workflows, dependency controls, and trusted model promotion.	MIT	author version devops-skills 1.0

Model Supply Chain Security

Protect models and inference components from tampering, dependency compromise, and untrusted artifact promotion.

Threats

• Poisoned pretrained weights or adapters
• Malicious model conversion tools or loaders
• Compromised build pipelines and registries
• Insecure runtime images with critical CVEs

Control Objectives

• Verify artifact integrity end-to-end
• Prove provenance for every promoted model
• Detect vulnerable dependencies before deploy
• Restrict execution to trusted signed artifacts

Recommended Controls

1. Generate SBOMs for model-serving images and dependencies.
2. Sign model artifacts and containers (Cosign/Sigstore).
3. Enforce provenance attestations in CI/CD.
4. Gate deployments with policy-as-code.
5. Continuously scan registries for CVEs and drift.

Promotion Policy Example

A model can move to production only when:

• checksum matches signed manifest,
• provenance references approved build workflow,
• no unresolved critical vulnerabilities,
• security and platform approvals are present.

Runtime Hardening

• Run inference containers as non-root.
• Apply egress restrictions to prevent unauthorized downloads.
• Mount model volumes read-only when possible.
• Alert on unsigned artifact pull attempts.

Related Skills

• sbom-supply-chain - Generate SBOM and provenance evidence
• container-hardening - Harden runtime container posture
• model-registry-governance - Controlled lifecycle and approvals