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.
Dependency graph analysis reveals which transitive packages can actually reach your code. From Log4Shell to the xz backdoor, see why flat scans miss what graphs catch.
Vulnerability counts measure how hard you're looking, not how exposed you are. Here's why mean time to remediate is the metric that actually predicts breach risk.
Abandoned open source packages sit quietly in enterprise SBOMs until a burned-out maintainer, a hijacked account, or a patient attacker turns them into the next supply chain incident.
Monorepos and polyrepos don't just shape build times — they shape blast radius, patch speed, and dependency visibility. Here's how each affects supply chain risk.
CVEs grew sixfold in a decade. Here is what a decade of open source vulnerability trends reveals about ecosystem maturity, from Log4Shell to the xz backdoor.
Most CVEs in your stack aren't in packages you chose — they're transitive. Here's why direct vs transitive vulnerabilities need different fixes and different priority.
npm, PyPI, RubyGems, Go, and Cargo each made different design bets on install scripts, namespacing, and signing — and those bets directly shape supply chain attack surface.
Open source runs on unpaid labor while billion-dollar companies use it for free. Here's the economics behind Log4Shell, xz-utils, and the free rider problem.
Three years after Log4Shell, Log4j is still found in production systems. Here is what the industry fixed, what it didn't, and why the risk persists.
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