Agenda

Businesses stand to benefit from AI in unprecedented ways, but only if IT and security leaders overcome transformation challenges. This includes implementing a modern zero trust architecture to protect data and users, embracing AI while managing its risks, and handling the technical and financial implications of ever-expanding environments. A risk-based approach to security ensures CIOs and CISOs deliver a secure, phased transformation.

Join this session to:

• Understand how zero trust and AI together, unlike firewalls, provide the strongest cyber defense by stopping threat actors from lateral movement within networks
• Learn strategies for protecting AI applications developed internally for customers and employees, while preventing data leaks from public AI applications
• Discover how AI is being leveraged for better cyber defense, in areas like segmentation, data classification and agentic operations

Modern threat actors targeting financial services no longer rely on a single delivery method. Instead, they orchestrate sophisticated, multi‑channel campaigns that blend AI‑driven phishing, search abuse, push notifications, and trusted infrastructure to exploit customer trust, financial brands, and exposed enterprise systems at scale. In this deep‑dive session, we examine what global DNS query data reveals about today’s financial threat ecosystem. Using real‑world examples observed at Internet scale, we explore how AI has reshaped phishing against banks and insurers, why abandoned and parked domains continue to fuel fraud and credential theft, how search poisoning and brand abuse undermine digital trust, and where misconfigurations like dangling CNAMEs expose financial environments to risk. Attendees will gain practical insight into how these techniques surface in DNS data and how DNS‑based visibility can uncover attacker behavior earlier in the kill chain.