Trust and judgement: the challenge facing the AI-driven SOC (www.techradar.com)

The security operations center (SOC) is witnessing a significant shift with the integration of agentic AI, which promises faster investigations and autonomous threat responses. This evolution moves beyond basic automation to systems that can make contextual decisions over longer periods, reshaping the nature of work and responsibility within security teams. However, this transition raises critical questions about trust and accountability as leaders must now decide how much judgment to delegate to AI systems, which operate with incomplete information and can redefine the decision-making process. As organizations navigate this landscape, the challenge lies in establishing a framework of responsibility around these autonomous systems. Security leaders must ensure visibility into AI decision-making processes to maintain confidence among teams, as human oversight remains essential. The transition to agentic AI does not eliminate the need for human expertise; instead, it redistributes responsibilities, allowing analysts to focus on more complex judgment tasks. Cultivating a collaborative culture that supports both AI capabilities and human oversight will be crucial for maximizing the value of agentic AI in SOC environments.