Hi ala,

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:

  • 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
 
 
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Cricket Liu
 
Cricket Liu
Chief Evangelist, Infoblox
Henrik Smith
 
Henrik Smith
CISO, Infoblox
Rob T. Lee
 
Rob T. Lee
Chief AI Officer and Chief of Research, SANS Institute
 
 
 
 
 
 
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