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.
Vulnerability intelligence platforms aggregate, enrich, and prioritize vulnerability data. This comparison examines how leading platforms handle supply chain-specific intelligence needs.
A practical catalog of indicators of compromise for software supply chain attacks, with detection queries and false-positive notes.
Six zero-days against ASA and FTD in 2024, two tied to ArcaneDoor. We chart the trend, the CVSS distribution, and the patch-to-exploit gap.
You cannot patch everything immediately. Here is a risk-based framework for deciding which patches to apply first when your vulnerability backlog exceeds your capacity.
A technique-by-technique tour of how modern static analyzers cut false positives, from CodeQL's path pruning to Infer's bi-abduction.
Listing every CVE in your NuGet dependency tree is easy. Turning it into a dashboard someone can act on is the work. A practical design.
How modern coverage-guided fuzzing finds real vulnerabilities in open-source dependencies, and how to fold it into a supply-chain security program.
MTTR is the most important vulnerability management metric. But what is a good MTTR? Industry benchmarks, realistic targets, and strategies for improvement.
A practical guide to running bundler-audit in production CI pipelines, including advisory database updates, exception handling, and integration with remediation workflows.
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