Alert System

Alert systems aim to efficiently identify and communicate critical events across diverse domains, from cybersecurity and healthcare to finance and industrial processes. Current research emphasizes improving alert triage through techniques like large-scale clustering, statistical learning, and hybrid models combining statistical methods with knowledge-based reasoning (e.g., using LLMs and SOPs). These advancements address challenges such as alert fatigue, false positives, and the need for explainable AI to enhance human-AI collaboration and trust in decision-making. The ultimate goal is to create more effective and reliable alert systems that improve situational awareness and facilitate timely, informed responses.

Papers