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.
Griffin AI's evaluation harness results published for the first time. Benchmark methodology, comparison against baselines, and what the numbers mean for production use.
Known vulnerabilities in dependencies cause most supply-chain breaches, not because they're undetected but because teams can't tell which ones are reachable.
FedRAMP authorizations cost $250K-$3M and take 12-18 months. See where that spend actually goes, how Chainguard's hardened images fit in, and how to cut costs.
A senior engineer's view of OpenAI API key leakage on GitHub at scale, why automated secret scanning misses so many, and what actually stops the bleeding.
Symbol conflicts and binary planting are the oldest native-code attacks, and they are showing up in modern software supply chains in unexpected places.
Open source powers 70-90% of modern codebases. Learn what open source security means, its real risks, and how reachability analysis cuts through the noise.
What FedRAMP High actually requires: 421 controls, 12-24 month timelines, and how supply chain security vendors like Chainguard and Safeguard measure up.
XSS lets attackers inject malicious JavaScript into trusted pages. Learn how stored, reflected, and DOM-based XSS work, real breaches, and defenses.
A concrete FedRAMP compliance checklist: steps, documentation, timelines, and how supply chain evidence like Chainguard images and Safeguard SBOMs fits in.
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