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.
The Literal type in Python lets you constrain a value to a fixed set of options the type checker enforces. Here's how to use it well, and where it quietly improves security.
Node.js security news moves on a predictable cadence. Here is how to read the advisories, act on the ones that matter, and harden your apps.
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.
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.
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.
Wiring Trivy into GitHub Actions gives you free container, filesystem, and IaC scanning with results in the Security tab. Here's a working setup and the pinning mistake to avoid.
Is Node.js safe to run in production? The runtime itself is well maintained and secure by modern standards. The real risk lives in the dependency tree and how you configure the app around it.
From tj-actions to xz utils, attackers are hijacking CI/CD pipelines to poison packages at the source. Here's why publishing pipelines are the new frontline.
How policy-as-code turns security gates from build-breaking friction into fast, git-versioned CI/CD checks — and where Safeguard's approach differs from JFrog's Xray and Curation model.
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