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DESCRIPTION:For decades, cybersecurity teams have relied on the “patient zero” model—detecting and responding to the first instance of a new threat before it spreads. However, in a post-AI world, this approach is increasingly ineffective. AI-powered attacks can morph, propagate, and evade detection at machine speed, often bypassing initial safeguards and rendering reactive defenses obsolete. This session will take a technical deep dive into the limitations of patient zero detection in the face of AI-enabled adversaries. We’ll examine how threat actors use automation to launch simultaneous, polymorphic attacks and why organizations must shift toward predictive, behavior-based, and network-centric defense models. Attendees will gain insight into the latest research and frameworks for building resilience against next-generation threats.\nWhy Join:\nUnderstand how AI is reshaping the threat landscape and why traditional detection models fall short. Learn proactive defense strategies from cybersecurity experts to stay ahead of sophisticated attacks and future-proof your security posture.\n
DTSTART:20260211T100000
DTEND:20260211T110000
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SUMMARY;LANGUAGE=es-es:Tecnowebinars.com - :: Rethinking Patient Zero: Cyber Defense Strategies for the AI Era
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UID:63b1ead566e648612afe09afdde59a39 Tecnowebinars.com
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