Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
A practical tour of how software supply chain attacks reach your build, and the controls that actually stop them.
LLM and agent apps add a new attack surface on top of every classic one. The threats that are specific to AI, mapped to the OWASP lists, and the boundary controls that actually contain them.
Autonomous agents take real actions, so a single injected instruction can cause real damage. Here is how to contain them.
You cannot prove an LLM app is safe by reading its prompt. Here is how to adversarially test it before attackers do.
A working security engineer's tour of the ten failure modes unique to LLM apps, each paired with a fix you can ship this sprint.
A practitioner's comparison of Trivy, Grype, and Snyk for finding CVEs in container images, plus how to wire scanning into CI without drowning in noise.
A practical, layer-by-layer checklist for securing Kubernetes clusters, workloads, networking, secrets, and the software supply chain.
Your pipeline holds the keys to production and signs off on everything you ship, so harden both the pipeline itself and the artifacts it builds.
A practitioner's checklist for securing AWS, ordered by impact so you fix the things attackers actually exploit first.
A practical guide to scoping GitHub Actions secrets correctly, avoiding leaks in logs, blocking fork-PR theft, and preferring OIDC over stored keys.
Most breaches come from the same short list of application bugs. This is the map: the vulnerabilities that actually get exploited and how to shut each one down.
A practical look at how SCA scanning finds vulnerable dependencies, cuts CVE noise, and where SAST, DAST, and IAST fit into CI/CD.
