The use of AI in cybersecurity has not lived up to its promise of reducing workloads, as traditional task-based AI agents often operate in silos, complicating security operations. This leads to agent sprawl, where security teams must manually coordinate outputs from numerous disconnected agents, resulting in slowed operations, rising costs, and a reactive posture to threats. To address these challenges, companies are shifting towards agentic systems, which enable multiple AI agents to collaborate and share context, thereby achieving specific security outcomes more effectively.

ReliaQuest’s GreyMatter platform exemplifies this approach by orchestrating various agentic systems across different technology stacks. These systems include specialized agents that work together to streamline security processes, such as threat hunting and anomaly detection. The integration of these agents allows for a more proactive security posture, reducing the burden on human analysts and enabling faster response times. For instance, Circle K, a global convenience store operator, successfully implemented GreyMatter, consolidating its security operations and dramatically reducing the time to contain threats from 24 hours to just five minutes. This transformation illustrates the potential of agentic systems to enhance cybersecurity efficiency and effectiveness.