Small Language Models Enhance Security Query Generation

This research explores the application of smaller language models to improve security query generation within Security Operations Center (SOC) workflows, potentially reducing computational costs. The article's focus on efficiency and practical application makes it a relevant contribution to the field of cybersecurity and AI.

• •Investigates the use of small language models (SLMs) for generating security queries.
• •Aims to improve efficiency within SOC environments.
• •Potentially reduces computational resources needed for query generation.