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 vulnerability management program for engineering teams needs more than zero-CVE base images. Here's how Safeguard closes the gaps Chainguard leaves open.
CVSS tells you severity. It does not tell you risk. Here is how reachability, exploitability, and AI context produce a prioritisation model that survives reality.
The two giants of vulnerability management have evolved past their network-scanner roots. A clear-eyed comparison of scan accuracy, exposure management, and cloud coverage in 2026.
Some vulnerabilities cannot be fixed in any reasonable timeframe. Here is a structured framework for accepting risk responsibly with reachability and AI evidence.
A hands-on tutorial for running Grype vulnerability scans in offline and airgapped environments, including vulnerability database hosting and CI integration.
Old vulnerabilities accumulate quietly until they become a compliance problem. Here is how to decide between fixing and mitigating, with evidence that holds up.
How attackers chain low and medium severity flaws across dependencies to reach critical impact, and why supply chain context changes triage priorities.
Most burndown charts lie about progress. Here is how to build one that survives executive scrutiny by combining reachability, age cohorts, and inflow data.
Dataflow analysis is the workhorse behind most vulnerability research. Here's how it adapts to TypeScript, Rust, and the polyglot realities of modern software.
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