From Experimentation to Execution: Technical AI Innovation in Cybersecurity

As AI capabilities mature, security teams are moving beyond experimentation and beginning to integrate AI into core security workflows and operations. This session will explore technical use cases where AI is driving innovation today, including threat detection and investigation, vulnerability management, security automation, identity, application security, and incident response. The discussion will examine how teams are integrating AI into existing security architectures, connecting models and agents to enterprise data and tools, and determining where automation can safely replace or augment human decision-making. Participants will also explore the technical challenges that emerge as these capabilities scale, from data quality and model accuracy to permissions, observability, governance, and securing agentic workflows. The session will focus on practical examples of what organizations are building and deploying today, what is delivering meaningful results, and where the next wave of AI-driven security innovation is likely to emerge.