What problem does it solve?
Legacy supply chain security frameworks and compliance controls are outdated for mid-2026 threat realities, failing to address risks from AI-generated code, unverified model weights, MCP server compromises, cache poisoning attacks, and opaque artifact provenance that leave modern software and AI pipelines vulnerable to undetected compromise.
Core Features & Use Cases
- Comprehensive Risk Assessment: Evaluates supply chain artifacts including software dependencies, build pipeline inputs, AI-generated code snippets, and ML model weights against real-world attack patterns and capability surface anomalies.
- Compliance Gap Analysis: Maps shortfalls in 35+ global regulatory frameworks (NIST, ISO, PCI DSS, EU CRA, etc.) against current threat vectors, highlighting where process-only controls fail to prevent supply chain compromise.
- Defense-in-Depth Implementation Guidance: Provides step-by-step procedures for adopting SLSA L3+ build standards, Sigstore keyless signing, in-toto attestation chains, CycloneDX/SPDX SBOM generation, CSAF VEX consumption, and runtime admission control for artifacts.
- Use Case: A DevOps team can use this skill to audit their CI/CD pipeline for cache poisoning vulnerabilities, implement SLSA L3 provenance attestations, and enforce Sigstore signature verification for all model weights before deployment to production.
Quick Start
Use the supply-chain-integrity skill to assess your organization's software and AI supply chain resilience against mid-2026 threats and receive a prioritized remediation plan aligned with your regulatory obligations.