In 2025, Web DDoS Tsunami attacks have surged due to advances in AI and automation accessible to both cybercriminals and defenders. AI-powered tools enable the creation of complex, multi-vector attacks that dynamically adapt using machine learning and deep learning algorithms, evading conventional defenses with real-time strategy shifts. This evolution makes detection and mitigation increasingly challenging. Radware highlights that these sophisticated tactics necessitate advanced, AI-driven cybersecurity solutions capable of countering adaptive threats to maintain effective protection against the modern cyberattack landscape.

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