Software Supply Chain Security
A course on proving what an artifact is and deciding whether to trust it. The supply chain threat model, dependency and source integrity, build system compromise, SLSA and provenance, signing and attestation with Sigstore, SBOMs and vulnerability intelligence, and verification at deploy time. For platform and security engineers who own the build and release path.
What you'll learn
Curriculum
7 modules · 32 lessonsThe Supply Chain Threat Model
What a supply chain attack actually is, the five stages where trust can be subverted, what real incidents did, and what the word "verified" is supposed to mean.
Dependencies and Source Integrity
The code you did not write and the repository it enters through: transitive dependencies, registry attacks, pinning, mirrors, and protecting the source itself.
Build Integrity
The build system as the highest-value target: isolation, hermeticity, ephemeral runners, removing standing credentials, and what a build should be able to attest to.
SLSA and Build Provenance
The SLSA framework as a means of stating what your build guarantees: the levels, what each actually buys, and how to assess yourself honestly.
Signing and Attestation
Making claims about an artifact that a verifier can check: signing fundamentals, Sigstore, keyless identity, in-toto attestations, and transparency logs.
SBOM and Vulnerability Intelligence
Knowing what is actually in your artifacts, and turning that inventory into answers rather than noise.
Verification and Enforcement
Turning claims into decisions: what to verify and where, enforcing policy at deploy time, controlling registries, and responding when a dependency is compromised.
About the Author

Sharon Sahadevan
AI Infrastructure Engineer
Building production GPU clusters on Kubernetes. H100s, large-scale model serving, and end-to-end ML infrastructure across Azure and AWS.
10+ years designing cloud-native platforms with deep expertise in Kubernetes orchestration, GitOps (Argo CD), Terraform, and MLOps pipelines for LLM deployment.
Author of KubeNatives, a weekly newsletter read by 3,000+ DevOps and ML engineers for production insights on K8s internals, GPU scheduling, and model-serving patterns.