Griffin AI in Safeguard: from finding to fix plan
Griffin AI is the reasoning core behind Safeguard's findings and fixes. The six stages the product page lists, and what to verify before you trust a fix.
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 is the reasoning core behind Safeguard's findings and fixes. The six stages the product page lists, and what to verify before you trust a fix.
Auto-Fix works in two places: source code and deployed container images. What the product page says each side does, and what it leaves unsaid.
Guard checks requests, queries, shell commands and AI traffic against rules you write once. It is generally available. Here is how it deploys and why monitor mode comes first.
What Safeguard's composition analysis covers: ecosystems, lockfiles, reachability verdicts, SBOM formats and CI. And one inconsistency on the page to check.
Scanner Suite runs several scanners in one pass and merges the results. What it covers, the feeds behind it, and the outputs it lists.
Safeguard's dynamic scanner uses the static call graph and route table as input. What it supports for authentication and CI, and which claims to test.
The file types Safeguard reads, from package manifests and SBOMs to Windows, Android, iOS and Java binaries and CSAF and VEX documents, as the docs list them.
Kestra OSS skipped Basic Auth for any API path ending in /configs, which let anyone create and run a workflow as root. CISA added it to KEV on 2 September 2026.
A malformed Host header made Starlette's request.url.path differ from the routed path, bypassing path-based auth. Fixed in 1.0.1. CISA added it to KEV on 2 September 2026.
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