For corporate security leaders, AI is no longer a distant concept—it is quickly becoming a practical question of trust, fit, and operational value. While technologists often see AI as a major leap forward in automation, intelligence, and scale, practitioners are focused on how it will perform in the realities of security work. Can it be trusted? How will it support existing workflows? What risks does it introduce? And where can it actually make teams faster, sharper, and more effective?
This webinar will bring those perspectives together. Drawing on new survey data from corporate security professionals, we’ll explore how practitioners are thinking about the application of AI across areas like incident intake, triage, investigations, threat assessment, reporting, and operational decision-making. We’ll compare those views with the perspective of technologists building and applying AI in the security domain, highlighting where expectations align, where gaps remain, and what it will take for AI to move from promising concept to trusted operational capability.
Attendees will leave with a clearer understanding of:
- How corporate security practitioners are evaluating AI today
- Where practitioners and technologists are aligned and where their perspectives differ
- The AI-enabled outcomes corporate security teams are most interested in achieving
- The key concerns that must be addressed for AI to earn trust in high-stakes security environments
- The practical conditions required to move AI from concept to operational capability
- Some practical tips for securing approval for AI trials
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