AI Security
Griffin AI vs Gemini Long Context for Codebases
Gemini's million-token context window is a genuinely new capability. For security analysis of large codebases, is it enough on its own?
Jan 31, 20267 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.
Gemini's million-token context window is a genuinely new capability. For security analysis of large codebases, is it enough on its own?
Auto-remediation only scales if human review stays cheap. Griffin AI's grounded PRs keep reviewer time low; Mythos-class PRs push the cost back to humans.
Enterprise agent deployments have moved past pilot phase. The security patterns that have survived contact with production look different from the ones the industry was selling a year ago.
A working review of Claude Code's security posture, sandboxing model, and the practical controls enterprises need to deploy it safely at scale.
Real exploits cross package boundaries. Griffin AI's graph follows them; Mythos-class tools often stop at the file they are reading.
The questions CISOs actually ask about software supply chain security in 2026: scope, budget, reporting lines, SBOMs, AI code, and where to start.
Install the Safeguard CLI, authenticate, and run your first dependency and SBOM scan in under ten minutes. Covers config, output formats, and CI wiring.
How the Sigstore Policy Controller actually runs in production, what it does better than Kyverno, and the operational pitfalls nobody mentions in the quickstart.
Scattered Spider showed that help-desk processes, SaaS federation, and MSPs are the new software supply chain. Here is how to think about it and what to actually change.
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