frontier-models

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.

Instruction/Data Conflation: Why Prompt Injection Persists

Prompt injection is not a vulnerability that will be patched. It is what happens when a system cannot distinguish the instructions it is supposed to follow from the data it is supposed to process.

MCP Ecosystem Maturation: Where It's Going

The Model Context Protocol went from a single-vendor proposal to a multi-implementation standard in under eighteen months. The security implications are still being worked out in public.

Griffin AI vs Cohere Command for SecOps

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.

Context Window As A Security Limit

The context window is usually marketed as a capability parameter. In a security setting, it behaves like a budget, a forgetting function, and an attack surface all at once.

Training Data Provenance: The Regulatory Wave

Regulators across three continents are converging on a single demand: show where your training data came from. The engineering implications are larger than most labs have admitted.

Griffin AI vs xAI Grok for Security

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.

Frontier Model Non-Determinism As A Security Limit

Non-determinism is not a rough edge frontier labs will polish away. It is an architectural property of how transformer decoding works, and it places a hard ceiling on the kinds of security contracts you can sign.

Prompt Injection At Scale: 2026 Trend Review

Prompt injection has evolved from demonstration exploits into a category of attack that runs continuously against production AI systems. Here is what changed in 2026.