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AI Security

Griffin AI vs Fine-Tuned Open Weights for SecOps

Fine-tuning an open-weight model sounds like a shortcut to a custom SecOps copilot. In practice, it is one step of a much longer journey.

Feb 19, 20267 min read
AI Security

Griffin AI vs Gemma for Lightweight Scanning

Gemma is built for efficiency. Can a small open-weight model replace Griffin AI for lightweight scanning workflows, or does the engine still matter?

Feb 11, 20267 min read
AI Security

Griffin AI vs DeepSeek Coder for Security Review

DeepSeek Coder has become a favourite for code-focused workloads. This is how it compares to Griffin AI when the job is security review, not code generation.

Feb 3, 20266 min read
AI Security

Griffin AI vs Qwen for Code Security

Qwen's open-weight models have strong code benchmarks. We dig into how they compare to Griffin AI when the workflow is real code security, not just leetcode.

Jan 26, 20266 min read
AI Security

Griffin AI vs Mistral Large for Remediation

Mistral Large is a strong reasoning model, but remediation is more than generating a diff. We look at what Griffin AI adds for production fix workflows.

Jan 18, 20267 min read
AI Security

Griffin AI vs Llama 3 for Security Workflows

Llama 3 is a powerful open-weight foundation model, but security workflows demand more than raw inference. Here is how Griffin AI compares.

Jan 10, 20267 min read
AI Security

Open-Weight Model Sandboxing Patterns

Running an open-weight model inside an enterprise perimeter seems safer than calling a hosted API. It is, and it isn't. The sandboxing patterns that actually produce the safety properties.

Aug 28, 20256 min read

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