Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
JFrog and Sonatype started as repository managers with security bolted on. Here's how they compare, and where a purpose-built approach like Safeguard fits.
What a code analysis tool actually does, how static source code analysis differs from dependency scanning, and how to pick one that finds real bugs instead of noise.
The Python validators library's url validator is a quick way to check URLs, but older regex-based versions carried a ReDoS risk. Here's how to use it safely.
Docker Hub vs. private/enterprise registries explained, with a look at where JFrog Artifactory fits — and why registry choice alone doesn't solve supply chain security.
The Docker Node version you pin decides your patch cadence, image size, and vulnerability exposure. Here is how to pick and maintain a Node base image safely.
Using Python assert in production code is risky because assertions are stripped when Python runs optimized. Any security check written as an assert simply disappears.
AI governance frameworks like NIST AI RMF and the EU AI Act now govern AI-built software. Here's what they require, and where JFrog's artifact-first approach falls short.
react-imask has no known CVEs and millions of weekly downloads, but its maintenance signals and how you wire it up matter more than its advisory record.
A working guide to unit testing in Node.js with the built-in node:test runner — structure, mocking, coverage, and the security-relevant code paths most suites forget to cover.
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