The Future of SIEM: From Rules to Agentic AI
For years, security teams have built their security information and event management (SIEM) systems around rules. SIEMs identify patterns, look for specific log events, correlate sets of signals, and generate alerts when predefined conditions are met. Some platforms add machine learning and behavioral analytics on top of that. Even then, you’re still defining what normal looks like and where the thresholds sit. It’s rules either way. That model has served us well, but I believe it is about to change.
From Rules to Objectives
As agentic AI moves into security operations, the role of the security analyst could shift from telling a SIEM exactly what to look for to giving an AI agent an objective and letting it determine how to investigate the environment.
It’s the difference between defining an objective and defining a rule. Traditional SIEM deployments require organizations to translate their understanding of risk into increasingly...
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