AI Polymorphic Malware: The Future of Undetectable Threats скачать в хорошем качестве

AI Polymorphic Malware: The Future of Undetectable Threats

In this video, we break down one of the most pressing emerging threats in digital security: AI-based polymorphic malware. Originally featured in a class action lawsuit against OpenAI we explore how traditional detection systems are being outpaced by malware that evolves using artificial intelligence. Learn how polymorphic malware works, why signature-based detection is failing, and how future malware might be generated dynamically by AI models, tailored specifically to your behavior, device, and even location. This video offers a chilling glimpse into the next generation of cyber threats and explores what new strategies will be needed to fight back. 00:00 Intro & Lawsuit Mention 00:43 What is Polymorphic Malware 01:15 Signature-Based Detection Explained 02:04 Why Polymorphic Malware Evades Detection 02:16 The Storm Worm Example 02:57 Modern Malware with Polymorphic Traits 03:17 AI-Based Polymorphic Malware 04:47 Custom Malware per User 05:36 AI-Generated Code in New Languages 07:13 Future Detection Strategies