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.
Japan's AMED, METI, and PMDA guidance now converges on SBOMs and supply chain controls, reshaping how medical and industrial software is built, shipped, and maintained.
Vulnerability scanning is one dimension of open source risk. A true risk intelligence platform must also evaluate maintainer health, project sustainability, licensing, and malicious package threats.
Kubernetes 1.33 shipped with meaningful security changes: stronger admission controls, expanded structured authorization, and several deprecations that will affect production clusters.
Griffin AI moves beyond scan-and-alert to autonomously generate, test, and propose vulnerability fixes. How Safeguard's remediation engine reduces mean time to fix without introducing new risk.
Detailed runbooks for responding to dependency CVE disclosures across languages and ecosystems, with roles, commands, and timelines tuned for automation.
As AI models become critical software components, the need for AI-specific SBOMs and model cards grows urgent. How the industry is extending supply chain transparency to machine learning pipelines.
A technical breakdown of Safeguard's automated vulnerability remediation engine, from dependency resolution to pull request generation and compatibility verification.
OWASP ASVS 5.0 restructured the verification levels and added new requirements for modern stacks. A practical adoption guide for teams using ASVS as their security baseline.
Most organizations know they should care about software supply chain security, but few have a structured way to assess their maturity. A practical framework for evaluating and improving your posture.
Weekly insights on software supply chain security, delivered to your inbox.