gemini
Safeguard articles tagged "gemini" — guides, analysis, and best practices for software supply chain and application security.
12 articles
Griffin AI vs Gemini On-Device: Developer Tools
Gemini on-device models are fast and cheap. For the developer-tool layer, they're useful. For the engine-plus-LLM layer, on-device is not the right fit.
Griffin AI vs Gemini for FedRAMP Workflows
Gemini has FedRAMP-authorised deployment options. Griffin AI builds on FedRAMP-aligned infrastructure. The comparison is about what the customer has to build.
Griffin AI vs Gemini Pricing: Security Scans
Gemini's pricing table favours long-context workloads. Security scans have long-context structure. The question is how much context fits into the architecture.
Griffin AI vs Gemini Multimodal: Security
Gemini's multimodal capabilities are genuinely useful for some security workflows. For most security workflows, the modality is code and text, not images.
Griffin AI vs Vertex AI Safety for Enterprise
Vertex AI Safety is Google's approach to enterprise AI controls. For security-specific workflows, Griffin AI adds grounding the Safety layer doesn't.
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.
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?
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.
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.
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.
Gemini 3 Pro and the Frontier Safety Framework Report
Google released Gemini 3 Pro on November 18, 2025 with the most thorough Frontier Safety Framework evaluation yet. We unpack what was disclosed and how it changes downstream defender posture.
Gemini 2.5 Pro and the Late Safety Report
Google released Gemini 2.5 Pro Experimental on March 25, 2025 without a contemporaneous safety report. The UK reaction set a precedent.