PLATFORMIZATION IN THE ERA OF AI-DRIVEN CYBER WARFARE: INTEGRATING DEEP LEARNING, TRANSFER LEARNING, AND BEHAVIORAL ANALYTICS FOR ENTERPRISE RESILIENCE
Keywords:
Cybersecurity Platformization, Deep Reinforcement Learning, Advanced Persistent Threats, Transfer LearningAbstract
Background: The digital landscape has evolved into a hyper-connected ecosystem characterized by smart cities and big data architectures. Consequently, the cyber threat landscape has shifted from sporadic attacks to organized, AI-driven Advanced Persistent Threats (APTs). Traditional siloed security solutions and static rule-based frameworks are increasingly insufficient against these dynamic vectors.
Methods: This study investigates the efficacy of "Cybersecurity Platformization," a holistic architectural approach that integrates disparate security functions. We propose and evaluate a unified framework that leverages Deep Reinforcement Learning (DRL), Transfer Learning, and Deep Neural Networks (DNNs) to detect and respond to threats in real-time. The methodology involves synthesizing insights from recent literature on behavioral analytics and social media threat detection to construct a resilient defense model.
Results: The analysis suggests that platform-based approaches significantly outperform point solutions in detecting lateral movement and persistent attacks. The integration of Transfer Learning allows for rapid adaptation to novel threats with limited labeled data, while DRL enhances automated decision-making, reducing incident response latency. Furthermore, deep learning models demonstrated superior capability in identifying subtle anomalies in high-volume data streams compared to traditional heuristics.
Conclusion: The transition to an AI-driven cybersecurity platform is not merely advantageous but essential for enterprise survival. While AI offers robust defense mechanisms, the emergence of adversarial attacks on neural networks presents a new frontier of risk. Future security strategies must prioritize the resilience of AI models themselves against trojan and poisoning attacks.
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