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 balanced look at what artificial intelligence and cyber security actually means in practice today, the concrete benefits teams are seeing and the new risks AI introduces into the same systems.
Alpine Linux is the default choice for minimal containers. Its APK package manager has a different security model than apt or dnf, and the tradeoffs matter.
Spring4Shell was hyped as the next Log4Shell and turned out to be neither as broad nor as harmless as the early coverage suggested. A 2026 look back at the real numbers.
Scanners generate findings. Programs produce outcomes. After a decade of dashboards and CVE counts, it is time to admit the gap between the two is the actual security problem.
Banks and fintechs are shipping AI-generated code faster than they can vet it. The bill for that speed is starting to come due.
A 2026 survey of static analysis tools for Swift focused on security findings: what works, what does not, and where the iOS and server-side gaps remain.
Traditional SCA tools tell you what's in your software. Next-gen SCA tells you what matters. Here's how the category is evolving.
What a SOC 2 Type II audit actually requires in 2026, where supply chain controls now sit in the Trust Services Criteria, and how to scope a defensible first report.
How SBOMs actually move between producers and consumers in 2026, what TEA and VEX are solving, and the distribution patterns that hold up in production.
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