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Introducing Griffin AI v2: Context-Aware Security Intelligence
Griffin AI v2 brings multi-step reasoning, remediation generation, and deep organizational context to Safeguard's AI engine.
Feb 10, 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.
Griffin AI v2 brings multi-step reasoning, remediation generation, and deep organizational context to Safeguard's AI engine.
Lion 2.0 is Safeguard's compliance model. The 2.0 release adds multi-jurisdiction mapping, control-level evidence, and a new export for audit packages.
Eagle 3.0 is the classification model behind Safeguard's package, image, and secret detection. Here is what changed, what moved, and what it means for alerts.
Griffin 3.0 is now generally available. Here is what changed in the reasoning and remediation model, how it behaves in practice, and the defaults you should know.
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.
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.
Safeguard 5.0 introduces Griffin AI, expanded SBOM analysis, and a redesigned policy engine. Here is what is new and why it matters for your security program.
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