Practical, no-fluff writeups on performance, security, browser auditing, and code quality.
An AI bill of materials lists every model, AI provider, framework and agent tool your software depends on. Here is what belongs in an AI BOM, the standard formats, and how to generate one from your code.
More Security
The OWASP LLM Top 10 lists the biggest security risks in apps built on large language models. Here is each risk in plain language, real examples, the newer OWASP Agentic Top 10, and what you can check in your own code.
MCP servers run with your developer permissions and feed text straight into your AI agent. Here are the MCP security risks that have already been exploited, and the config checks that stop them.
The official OWASP Top 10 2025 explained, mapped category by category against the OWASP Top 10 2021, plus the OWASP Top 10 for LLM Applications 2025 and what a scan can actually test.
What a cyber security platform really is, how a data security platform, cloud security platform and cloud native security platform differ, and how to choose the layers your team needs.
SSL Labs' exhaustive protocol enumeration set the standard for TLS testing - but cached results and no scheduling send people looking for alternatives. Here's an honest comparison, including the one thing a single-connection check genuinely can't match.
A practical framework for triaging vulnerability alerts - what severity and CVSS actually mean, when to patch versus mitigate, and how to close the loop without losing track of what you've deferred.
OWASP ZAP is a genuinely powerful free active security scanner - and a lot of tool to learn. Here's an honest look at real alternatives, and the real difference between active and passive scanning.
How an invisible iframe can trick a user into clicking something they never saw, and the header that stops your pages from being framed at all.
The handful of API security mistakes that show up constantly - missing rate limits, weak auth, and overly permissive CORS - and what a reasonable baseline actually looks like.