Webinar: Defend Against AI-Automated Cyberattacks

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Hi Emre,
 <p>Frontier AI is changing the economics and speed of cyberattacks.  As advanced models automate reconnaissance, vulnerability discovery, credential attacks, exploit-chain development and adaptive intrusion activity, attackers can operate continuously and examine thousands of potential targets in parallel.  The critical security question is no longer simply whether powerful AI models are open or closed; it is whether organizations can reduce exploitable conditions and contain attacks faster than autonomous systems can move.<br /><br />This webinar will examine why External Attack Surface Management (EASM) is foundational to defend against AI-automated attacks.  Attendees will learn how comprehensive asset visibility, exposure prioritization and continuous monitoring can uncover internet-facing assets, misconfigurations, exposed credentials, abandoned domains and other pathways attackers may exploit.  The discussion will also connect EASM with protective DNS, threat intelligence, supply chain visibility and automated SOC workflows to help security teams detect, contextualize and contain threats at machine speed while keeping human analysts in control of high-impact decisions.<br /><br /><strong><b>Why Attend</b></strong></p> <ul> <li>Understand how frontier AI makes reconnaissance and attack operations persistent, parallel and increasingly difficult to match with manual processes.</li> <li>Learn how EASM helps identify and prioritize exploitable exposures across DNS, IP infrastructure, cloud environments, and connected assets.</li> <li>See how exposure visibility, Protective DNS and automated response workflows can limit attacker freedom of movement before a small weakness becomes a material incident.</li> <li>Take away practical guidance for strengthening security fundamentals and evolving SOC operations for machine-speed attacks.</li> </ul> 
<strong>Daniel Brody</strong><br>Sr. Product Marketing Manager, Infoblox
<strong>Will Townsend</strong><br>Chief Analyst, LoneStar Advisory &amp; Research
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James Mackenzie · jmackenzie@bloxmarketing.infoblox.com

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1 October 2026 · 09:00 UTC