The article examines the psychological consequences of analysts’ work in a Security Operations Center (SOC), including chronic stress, professional burnout, and related cybersecurity errors. Burnout is considered as an operational risk that increases the likelihood of incidents and reduces decision effectiveness. Modern AI solutions for SOCs (LLM assistants, agentbased systems, and behavioral models) and their limitations are analyzed. The paper discusses monitoring of the operator’s functional state, the structure of incident analysis, and mechanisms for limiting AI influence in order to preserve manageability and responsibility. The practical applicability of the proposed approach is demonstrated, where the reliability of operator decision-making is supported by an AI-assisted loop.