Insights / Research Report / The Future of SecOps in an AI-driven World
April 11, 2025

The Future of SecOps in an AI-driven World

Dave Gruber
Principal Analyst, Ransomware, SecOps & Services

Emily Marsh
Associate Research Director

Market Topics

Cybersecurity Data Analytics & Artificial Intelligence Operations

SecOps is a mainstay of modern security programs. Once focused on reactive, alert-driven activities, today’s SecOps has expanded to a risk mitigation function, inclusive of both proactive and reactive strategies like security posture management, core security controls optimization and tuning, detection and response, and recovery in the event of a harmful cyberattack. This expanded agenda has also increased collaboration with other functions, including risk management, IT, OT, software development and engineering, supply chain management, and more. With such a broad scope of responsibility, it’s no surprise that the number and complexity of systems and technologies involved continue to grow, heavily influenced by the more recent explosion of GenAI adoption.

Despite all of this, for the first time in the past five years, this research indicates that the scales are tipping, as more organizations reported this year that SecOps is getting easier. This improvement is fueled by three industry mega-trends: tool consolidation, the application of GenAI within SecOps, and the effectiveness of XDR solutions.

To gain further insights into these mega-trends and other developments in the security operations space, Enterprise Strategy Group surveyed 366 IT and cybersecurity professionals at large midmarket and enterprise organizations in North America (U.S. and Canada) involved with security operations technology and processes.

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