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.
A technical breakdown of how Snyk's snyk test and snyk monitor commands differ mechanically — exit codes, dependency snapshots, and continuous vulnerability tracking.
How Snyk private registry package scanning connects to Artifactory and Nexus, from Docker Registry API calls to Broker-relayed authentication behind the firewall.
How Snyk parses Podfile.lock for CocoaPods and invokes the Swift toolchain to resolve Swift Package Manager dependencies when scanning iOS codebases.
How Snyk's snyk aibom --html flag turns CycloneDX AI-BOM data into an interactive graph of models, agents, tools, and MCP client-server-tool dependency chains.
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.
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