Agentic AI Applications in Information Security

This technical report discusses the potential of agentic AI in automating key information security use cases. It outlines the challenges faced by security teams, including an overwhelming number of alerts and difficulties in retaining cybersecurity staff. The report presents findings from 451 Research’s Voice of the Enterprise: Information Security, SecOps 2025 study, indicating that teams are unable to investigate a significant percentage of security alerts. It details how agentic AI can help address these issues by automating routine tasks, analyzing security signals, and recommending actions. The report also highlights specific use cases where organizations plan to implement AI, such as threat detection, governance, risk management, fraud detection, sensitive data protection, and incident response automation. Furthermore, it discusses the early-stage benefits of AI implementations in cybersecurity, noting a decrease in the percentage of uninvestigated alerts compared to previous years. The report emphasizes the evolving role of AI in enhancing organizational security posture and operational efficiency.