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.
A practical field guide to the secure coding habits that stop the vulnerabilities attackers actually exploit in production.
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.
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.
AI coding assistants ship fast but frequently introduce security flaws, so treat their output as untrusted and gate it before merge.
A practical walkthrough of the HTTP response headers that harden a web app, with a real rollout plan for Content-Security-Policy.
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 lightweight, whiteboard-friendly way to find design-level security flaws that scanners miss, using STRIDE, data-flow diagrams, and four plain questions.
Most API breaches aren't exotic exploits. They're missing authorization checks on endpoints that already require a login and a valid token.
A practical guide to defending against CSRF with SameSite cookies, synchronizer tokens, and double-submit, plus knowing when you don't need any of it.
