open-weight
Safeguard articles tagged "open-weight" — guides, analysis, and best practices for software supply chain and application security.
7 articles
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.
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?
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.
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.
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.
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.
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.