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.
Snyk's standard SCA treats AI/ML packages like any other dependency, while a separate AI-BOM tool adds static analysis to detect models, agents, and MCP connections.
A mechanical look at how Snyk's Eclipse plugin surfaces open source and code scan findings as native markers in the IDE's Problems view.
SCA scans your open-source dependencies for known vulnerabilities and license risk. Here's what it checks, how it differs from SAST, and why reachability matters.
Most vulnerability scans stop at direct dependencies, missing the 70-80% of your codebase that arrives transitively — where Log4Shell and other major CVEs actually hid.
Patches for open source flaws often exist for months before teams apply them. Here is what that patch lag actually costs in breaches, cleanup, and trust.
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.
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