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.
Not all software comes with source code. Binary analysis techniques can extract component information from compiled artifacts, firmware, and commercial software to produce SBOMs where traditional tools cannot.
MITRE's 2023 CWE Top 25 ranks the software weaknesses behind 43,996 CVEs. Here's how it's scored, what moved, and how to prioritize fixes.
AI coding assistants read untrusted files as instructions, not data. Here's how prompt injection sneaks malicious code into your commits — and how to catch it before it ships.
SAST catches insecure code before deploy; DAST tests running apps after. We compare both against JFrog's Artifactory-first model and Safeguard's supply-chain-native approach.
AI-assisted "vibe coding" is reshaping how much code ships and how little of it gets truly reviewed. Here's what the data shows and how AppSec teams should respond.
REST API breaches from T-Mobile to Optus trace to a handful of recurring mistakes. Here's how to fix authorization, auth, injection, and rate limiting.
AI now writes up to half of production code. Here is why traditional code review breaks down on AI output, and what teams need to change.
DevOps vs DevSecOps isn't a mindset shift — it's specific new artifacts, gates, and ownership. Here's what changes, contrasted with JFrog's artifact-first model.
AI writes most new code, but few CI pipelines scan it before merge. Here's why the AI code scanning adoption gap exists — and what closes it.
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