Multi-Layered NGFW Protection Shield for AI Infrastructure

Gill, Gurdeep Kau (2025) Multi-Layered NGFW Protection Shield for AI Infrastructure. World Journal of Advanced Research and Reviews, 26 (1). pp. 2863-2874. ISSN 2581-9615

Next-Generation Firewalls (NGFWs) have emerged as critical safeguards for artificial intelligence systems in an era of rapid AI adoption across sectors. This article gives the multifaceted role of NGFWs in protecting AI infrastructure, analyzing their advanced architectural features, threat mitigation capabilities, and contributions to regulatory compliance. By integrating application awareness, SSL/TLS inspection, identity management, and AI-specific security mechanisms, NGFWs provide layered protection against sophisticated threats such as data poisoning, model extraction, and adversarial attacks. The article explores implementation case studies across healthcare, finance, manufacturing, and public sectors, revealing sector-specific security challenges and effective mitigation strategies. The article analysis further shows how NGFWs support ethical AI deployment and compliance with evolving data protection regulations. Looking forward, the convergence of AI and security technologies promises enhanced detection accuracy and automated response capabilities, ultimately fostering public trust in AI systems. This article demonstrates that implementing robust NGFW protection represents not merely a technological safeguard but an essential foundation for responsible and trustworthy AI integration across society and economies.