AI governance frameworks: managing risk in AI-built software
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.
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.
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.
Checkmarx is used mainly for static application security testing (SAST): scanning source code for vulnerabilities early in development. Here is what it does and how teams actually use it.
How to build a budget case for a supply chain security program that survives CFO scrutiny, with dollar-denominated risk, benchmarks, and staged investment tiers.
Learning to check code for security issues means layering the right tools in the right order. Here is a practical workflow that catches real bugs without drowning you in noise.
react-spinners is a popular zero-dependency loading component library for React. Here is an honest look at what it is and how to keep small npm dependencies safe.
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.
Black box testing probes a system from the outside with no view of its internals. Here is what it catches, where it falls short, and how it fits a security program.
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