specialised-llms
Safeguard articles tagged "specialised-llms" — guides, analysis, and best practices for software supply chain and application security.
6 articles
LLM Selection Cost-Quality Tradeoff For Security
LLM selection is ultimately a cost-quality optimisation under workflow constraints. The curve is not smooth, and the right point on it depends on where errors land in your pipeline.
Evaluating Security-Specific Reasoning Models
Reasoning models have arrived in security tooling. Evaluating them requires different methodology from evaluating classification or generation models. Here is what good evaluation looks like.
Small-Model Distillation For Security Workflows
Distillation compresses the capability of a large model into a small one for a narrow task. For high-volume security workflows, it is often the difference between a working pipeline and an unaffordable one.
Domain-Adapted LLMs For Vulnerability Detection in 2026
Domain adaptation has quietly become the default for LLM-assisted vulnerability detection. A look at what works in 2026, what does not, and what teams should plan for next.
Fine-Tuning Security LLMs vs Grounding: Which Wins
Fine-tuning teaches a model to be a security expert. Grounding lets a general model act like one by reading the right sources. The right answer is usually both, but the proportions matter.
Specialised Security LLM vs Frontier Model: The Choice
Frontier models are general polymaths. Security-specific LLMs are narrow experts. Choosing between them is rarely about raw intelligence and almost always about cost, latency, and the shape of your data.