The Security Foundation

Build a shared foundation for understanding AI in security. This session provides a practical overview of key AI concepts, including models and agents, what today’s tools can and cannot do, and where common misunderstandings arise. Attendees will gain a clearer framework for evaluating vendor claims, assessing risk, and asking the right questions before implementation. Designed as an accessible crash course with interactive discussion.

A candid conversation among security leaders deploying AI today. In this peer-to-peer roundtable, CSOs and senior security executives share real-world use cases—from alert triage and investigations support to OSINT automation and reporting. Panelists will discuss what has delivered measurable value, where challenges emerged, and how they approached governance, change management, and adoption.

Exploring how to automate wisely—without sacrificing human insight. This session examines where AI meaningfully enhances intelligence workflows, such as pattern detection, anomaly surfacing, and summarization, while addressing risks like overreliance and loss of context. Through case examples and expert commentary, attendees will explore practical guardrails that preserve analyst judgment and accountability.

Understanding how AI is changing the threat landscape. This briefing explores how adversaries are leveraging AI for social engineering at scale, deepfakes, reconnaissance, tailored phishing, and synthetic identities. Attendees will distinguish between emerging realities and overhyped narratives—and consider practical steps to make their organizations harder targets.

Confronting the rise of AI-driven fraud and impersonation. This panel examines real incidents involving voice cloning, invoice fraud, executive impersonation, and vendor payment diversion. Speakers will discuss mitigation strategies, internal controls, verification protocols, and communication practices organizations are implementing to reduce financial, reputational, and leadership risk.

Creating policies that enable innovation while managing risk. This practical session focuses on governance frameworks for responsible AI deployment, including data handling, model risk management, procurement diligence, human-in-the-loop design, auditability, and red-teaming practices. Attendees will leave with actionable considerations for building “safe enough” AI programs within their organizations.

Examining AI’s impact on teams, culture, and insider risk. As AI reshapes workflows, it also changes workforce dynamics. This discussion explores role redesign, emerging skills gaps, morale and change management challenges, shadow AI usage, and new insider risk patterns. Attendees will consider how to adapt policies and talent strategies to meet this evolving landscape.

A grounded look at what’s actually ahead. In a dynamic discussion featuring diverse perspectives, this session examines likely near-term developments—from AI agents and multimodal systems to regulatory shifts and on-device capabilities. Panelists will separate meaningful signals from industry noise and discuss how security leaders can future-proof their programs amid rapid change.