Why security leaders are cautious about agentic AI (www.techradar.com)

The emergence of agentic AI in cybersecurity is prompting caution among security leaders due to the varying interpretations of the term and the ambiguity surrounding its practical applications. Agentic AI describes a goal-oriented system with multiple agents that can act autonomously, yet in the fragmented cybersecurity landscape—where tools span across endpoints, networks, and clouds—its potential remains confined without integration between different vendor ecosystems. Many current implementations fail to deliver meaningful improvements, often just providing chat interfaces that heighten cognitive load instead of transforming workflows. Despite its challenges, when used correctly, agentic AI could significantly enhance security operations by streamlining investigations and decision-making processes. Instead of requiring extensive manual analysis, effective agentic systems could correlate data from multiple sources to provide comprehensive narratives around security incidents, improving response times and reducing alert fatigue. However, the technology still necessitates robust human oversight and transparency to ensure trust and accountability in the outcomes. As the industry progresses, security leaders are encouraged to focus on practical solutions grounded in verifiable data and to prioritize systems that augment human expertise rather than pursue full automation.