An AI agent can enter a loop while trying to extract incident alerts primarily due to ill-defined termination conditions or ambiguous extraction criteria. If the agent lacks a clear understanding of when to stop searching or what constitutes a unique, distinct alert, it might continuously re-evaluate the same data or generate new, similar queries without end. This often stems from poorly designed state management, where the agent fails to effectively mark previously processed alerts or track its progress through the incident data sources. Another key factor is encountering cyclical references within the incident data itself, causing the agent to follow an endless chain of interconnected alerts that never reach a definitive endpoint. Furthermore, insufficient contextual understanding or a lack of a definitive "exit" condition can prevent the agent from recognizing when it has successfully gathered all relevant information, leading to perpetual iteration. More details: https://www.szlna.com/ADClick.aspx?SiteID=206&ADID=1&URL=https://infoguide.com.ua/