Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
A developer-focused walkthrough of the TLS 1.3 handshake, certificate trust, forward secrecy, and how to debug the errors you actually hit.
AI apps add a new attack surface on top of the old ones. This is the map: the threats unique to LLMs and agents, and the controls that actually contain them.
A practical tour of how software supply chain attacks reach your build, and the controls that actually stop them.
A practical field guide to the secure coding habits that stop the vulnerabilities attackers actually exploit in production.
You cannot prove an LLM app is safe by reading its prompt. Here is how to adversarially test it before attackers do.
Autonomous agents take real actions, so a single injected instruction can cause real damage. Here is how to contain them.
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.
Stop stashing long-lived AWS access keys in GitHub secrets and let OIDC hand your workflows short-lived, scoped credentials instead.
