AI-Enhanced Cyber security: Leveraging Large Language Models for Threat Detection

Abstract

AI-enhanced cyber security represents a transformative approach to threat detection, particularly through the use of large language models (LLMs). These advanced models, trained on vast amounts of data, can analyze and interpret complex patterns within cyber security logs, communications, and system behaviors. By leveraging LLMs, cyber security systems can identify potential threats with greater accuracy and speed, even in the presence of subtle anomalies or emerging attack vectors. The ability of LLMs to understand and process natural language also enables the detection of phishing attempts, social engineering tactics, and other sophisticated cyber threats that often evade traditional security measures. This integration of AI into cyber security not only enhances threat detection but also improves the adaptability and resilience of defense mechanisms in an ever-evolving digital landscape.