AI has promised to transform security operations, yet many SOC teams are still working through important questions: How should AI be applied? Where does it create real value? And how can it be scaled in a way that maintains trust, transparency, and control?

Join Simon Hunt, Chief Product and Innovation Officer at Securonix, on March 18th, for a thought-leadership session exploring how the industry’s understanding of AI in the SOC is evolving. This session explores how a governed, agentic approach brings together coordinated AI agents, unified security data, and human-in-the-loop oversight across the full SOC lifecycle. 

Attendees will gain perspective on:

• Why trust, governance, and measurement are central to scaling AI responsibly in the SOC
• How AI augmentation can support analysts without removing human judgment or control, and return valuable time across detection, investigation, response, and reporting workflows
• How productivity and measurable outcomes — not AI volume — are emerging as more meaningful indicators of value
• What it takes to operationalize AI safely in regulated, real-world environments

This session is not a product deep dive. It is a practical, forward-looking discussion on how security leaders can rethink AI adoption, align it to operational outcomes, and build SOC capabilities that are both innovative and accountable.