Multi-Layered NGFW Protection Shield for AI Infrastructure

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17262805
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Multi-Layered NGFW Protection Shield for AI Infrastructure

Zenodo (CERN European Organization for Nuclear Research)
Cancer-related molecular mechanisms research
article

Multi-Layered NGFW Protection Shield for AI Infrastructure

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Cisco Systems (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Cancer-related molecular mechanisms research
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