Product
Safeguard v5: One Year In — What We Built, What We Learned
A retrospective on Safeguard v5's first year in production, the features that resonated, and where we're headed next.
Jan 5, 20266 min read
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 retrospective on Safeguard v5's first year in production, the features that resonated, and where we're headed next.
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.
A technical breakdown of Safeguard's automated vulnerability remediation engine, from dependency resolution to pull request generation and compatibility verification.
The Safeguard IDE Extension v5 brings SBOM generation, vulnerability alerts, and policy checks directly into VS Code and JetBrains IDEs. A deep dive into what changed and why it matters.
A practical guide to implementing Safeguard's Enterprise Software Supply Chain Management framework across large organizations with complex dependency ecosystems.
A comprehensive walkthrough of the Safeguard.sh portal, covering every panel, metric, and workflow that security teams use daily to manage software supply chain risk.
Not every vulnerability in your dependencies is exploitable. Safeguard's reachability analysis determines whether vulnerable code paths are actually invoked in your application.
Container images are supply chain artifacts. Safeguard's container scanning analyzes every layer -- base images, OS packages, and application dependencies -- for a complete risk picture.
Auto-Fix generates pull requests that update vulnerable dependencies with compatibility checks, test validation, and rollback safety. Remediation at the speed of disclosure.
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