Sigma-Hunter: A Domain-Specific Language Model for Threat Hunting and Detection Engineering

arXiv:2610.09007 · cs.AI, cs.CR · Submitted 2026-10-06 · Read on arXiv

cs.AI, cs.CR

Submitted: 2026-10-06

Updated: 2026-10-06

Code: https://github.com/SigmaHQ/sigma

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fine-Tuning — 16× in this paper · explained in 5 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• LLM Agents can Autonomously Exploit One-day Vulnerabilities
• Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
• LoRA: Low-Rank Adaptation of Large Language Models

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