Frontier AI models like Mythos are fundamentally changing the economics of cyberattacks, making vulnerability discovery and exploit development faster, cheaper and more scalable than ever before. At the same time, attackers are leveraging AI to create highly targeted scams, automate social engineering and generate short-lived malicious infrastructure designed to evade traditional detection methods. Traditional malware-based security tools alone are not sufficient against AI-driven threats. Preemptive security, supported by predictive threat intelligence, must become a core component of a modern security strategy.
In this webinar, we will discuss why reactive security is no longer enough in an environment where every organization risks becoming “patient zero.” We will discuss how:
Why attend
- DNS serves as the earliest and most universal control point to stop attack progression, such as command-and-control (C2) communications, malware downloads and data exfiltration, even when attackers exploit Mythos-identified vulnerabilities
- DNS-native exposure management can discover and prioritize external risk most likely to be exploited
- You can maintain network operations and cyber resiliency during an attack by having dedicated DNS, DHCP and IP address management (IPAM) servers
Meet the Presenters

Cricket Liu
Chief Evangelist, Infoblox
Cricket is one of the world’s leading experts on the Domain Name System (DNS), and serves as the liaison between Infoblox and the DNS community. Before joining Infoblox, he founded an Internet consulting and training company, Acme Byte & Wire, after running the hp.com domain at Hewlett-Packard. Cricket is a prolific speaker and author, having written a number of books including “DNS and BIND,” one of the most widely used references in the field, now in its fifth edition.

Henrik Smith
CISO, Infoblox
Henrik Smith is a cybersecurity executive with 30 years of experience leading security across cloud, hardware, government, and consumer technology. He previously led Devices and Services security as Director of Security Engineering at Amazon and has held senior security leadership roles at Salesforce and AWS. Henrik is a trusted advisor to boards, executives, founders, and security teams, known for combining deep technical expertise with practical leadership. His work focuses on helping organizations align security, governance, and execution to reduce risk, strengthen resilience, and deliver measurable business impact.

Rob T. Lee
Chief AI Officer and Chief of Research, SANS Institute
Rob T. Lee is Chief AI Officer and Chief of Research at the SANS Institute, where he advises boards, CISOs, and government leaders on how to govern, deploy, and defend AI at scale. He authored the SANS Secure AI Blueprint, introducing the three-pillar model of Protect, Utilize, and Govern, led the development of the SANS Critical AI Security Guidelines, and published widely- cited work on Shadow AI and safe harbor protections. His forthcoming white paper, “From Asymmetry to Parity: Building a Safe Harbor for AI-Driven Cyber Defense” (Fall 2025), addresses the challenges of AI-driven cyber defense.



