Improved Threat Intelligence and Real-Time Protection with Next-Generation Firewall Solutions: Artificial Intelligence and Deep Learning

Improved Threat Intelligence and Real-Time Protection with Next-Generation Firewall Solutions: Artificial Intelligence and Deep Learning

연구 분야: Safety

학회: 2025 Global Conference in Emerging Technology (GINOTECH)

Next-generation firewall (NGFW) solutions are becoming vital in modern cybersecurity, providing protection against emerging threats that cannot be mitigated by legacy firewall solutions. Artificial Intelligence (AI)/Deep Learning: AI and deep learning in the context of NGFWs have greatly enhanced threat intelligence and real-time protection through automated threat detection, predictive analytics, and adaptive security responses. In contrast to traditional rule-based and signature-based firewalls, AI-enabled next-generation firewalls use machine learning algorithms and deep neural networks to analyze network traffic patterns, detect abnormal behavior, and accurately identify previously unknown threats. Deep learning models, specifically convolutional and recurrent neural networks, improve the capability of firewalls to detect and react to complex attacks including zero-day exploits, advanced persistent threats (APTs), and polymorphic malware. Dynamic security policies, continuous self-learning capabilities, and automated mitigation strategies within the AI-driven NGFW solutions allow less dependence on manual mitigation, and better improvement of false-positive rates. They use real-time threat intelligence feeds, behavioral analytics, and traffic monitoring to preemptively detect and mitigate harmful activity before it does damage. Besides, the effective reinvention of reinforcement learning offers suitable changes in firewall rules for securing networks in dynamic threat environments. Yet these benefits have not come without their drawbacks; challenges including computational overheads, malicious AI attacks, and the interpretability of AI-driven threat detection decisions remain integral problems that need to be addressed. This study delves into how AI and deep learning can be utilized by NGFWs to strengthen cybersecurity posture, increase visibility into the network, and counter new-age cyber threats. Finally, it addresses critical hurdles and future directions, s... Show More