Demist-2 — это компактная языковая модель от Darktrace, специально обученная для задач кибербезопасности. Несмотря на скромные 95 миллионов параметров, этот ИИ эффективно анализирует угрозы и классифицирует тексты, работая даже на локальных устройствах.
DEMIST-2 is Darktrace’s latest language model tailored for the cybersecurity domain. With just 95 million parameters, it delivers powerful text analysis for threat detection and classification, while remaining lightweight enough for local deployment. Trained on both natural language and security-specific data, DEMIST-2 excels in embedded environments using custom LoRA adapters to specialize in diverse tasks with minimal memory and compute overhead. This report details its architecture, training process, and performance evaluations. It also highlights DEMIST-2’s improvements over earlier models and its role in enhancing the accuracy and speed of cybersecurity operations within Darktrace’s product ecosystem.