FrontierAI models like Mythos, GPT-5.5-Cyber and others have collapsed the cost of finding vulnerabilities from expert-days to automated-minutes. The same illumination now helps defenders and OEMs close long-latent flaws faster than ever, while handing attackers the means to weaponize a disclosure before the patch is even public. The IT security world has been talking about this for months.

Join Nozomi Networks for a practical working session on what weaponized AI actually changes for the teams defending critical infrastructure, and what to do about it now.
‍

In this webinar, you will learn:
‍

• How today's frontier models are being used on both sides of the fight, by defenders and OEMs industrializing patching and vulnerability management, and by attackers idustrializing discovery and exploitation.
• Why the real crisis is the widening gap between discovery that moves at the speed of software and response that still moves at the speed of organizations, and why that gap breaks hardest in OT.
• What it takes to defend assets you cannot stop, reboot, or always patch, from virtual patching and segmentation to compensating controls that hold the line until a maintenance window allows the real fix.
• Ten thingsOT/IoT security teams should focus on right now to reduce exposure, detect abnormal behavior, and contain risk before AI-enabled attackers turn new weaknesses into operational impact.

You will leave with a clear-eyed view of how the threat landscape has shifted and a concrete, OT-native framework for measuring and closing your own window of exposure, the one number that actually maps to risk in a record-CVE world.

‍