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Supply Chain Security, in plain English.

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AI Security

Griffin AI vs Gemini Function Calling: Security

Gemini's function calling is strong and flexible. Griffin AI's tool layer is narrow and opinionated. For security workflows, the opinionated approach wins.

Feb 8, 20268 min read
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
AI Security

Griffin AI vs Gemini Code Assist: Security

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.

Jan 23, 20267 min read
AI Security

Griffin AI vs Gemini Ultra for Security Reasoning

Gemini Ultra sets a high bar on complex reasoning benchmarks. But security reasoning is not benchmark reasoning. Here's how Griffin AI's engine-first approach changes the outcome.

Jan 15, 20267 min read
AI Security

Griffin AI vs Gemini Pro for Security Workflow

Gemini Pro brings capable reasoning and a massive context window to general-purpose workflows. Griffin AI brings a security engine with an LLM on top. The difference matters when the workflow is appsec.

Jan 7, 20266 min read
Case Studies

How Google Secures Its Software Supply Chain

An inside look at Google's multi-layered approach to supply chain security, from Binary Authorization to SLSA, and what other organizations can adapt from their model.

May 8, 20237 min read
DevSecOps

SLSA Framework Introduction: Securing Supply Chain Integrity

Google's SLSA framework provides a graduated model for supply chain integrity, from basic provenance to fully verified builds. Here's how it works and why it matters.

Sep 1, 20216 min read

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