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.
Domain adaptation has quietly become the default for LLM-assisted vulnerability detection. A look at what works in 2026, what does not, and what teams should plan for next.
GPT-4o is an excellent general-purpose model. Security workflows are a specialty, and specialty work exposes the limits of general intelligence.
A remediation PR is only useful if it does not break anything else. Griffin AI runs targeted regression before opening; Mythos-class tools usually do not.
Prompt injection stopped being an LLM curiosity the moment agents started committing code. It is now a software supply chain risk and should be modeled as one.
Prompt injection is not a vulnerability that will be patched. It is what happens when a system cannot distinguish the instructions it is supposed to follow from the data it is supposed to process.
Gemini Code Assist makes developers faster. But faster is not safer. Here's how Griffin AI layers a security engine onto the same developer workflow.
SPDX is the format auditors ask for, the format regulators reference, and the format most enterprise procurement teams standardize on. Griffin AI treats it as a first-class graph. Mythos-class tools treat it as a long document.
The Model Context Protocol went from a single-vendor proposal to a multi-implementation standard in under eighteen months. The security implications are still being worked out in public.
FedRAMP HIGH demands 421 controls with documented, continuous evidence. Griffin AI produces control-mapped records every day. Mythos-class pure-LLM tools cannot fill a 3PAO evidence package.
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