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Next Generation Firewall Deployment for Predictive Analysis of Network Anomalies Using Artificial Intelligence

The rapid evolution of cybersecurity threats necessitates the adoption of advanced defense mechanisms, such as Next-Generation Firewalls (NGFWs), to protect modern networks. This presentation provides a comprehensive overview of NGFW deployment for predictive analysis of network anomalies using artificial intelligence (AI) models. We explore the synergistic integration of NGFWs with AI, enabling proactive threat detection and mitigation. Through the analysis of real-world data, this research demonstrates the efficacy of AI-driven anomaly detection, reducing response times to emerging threats. The study highlights the potential of NGFWs as a critical component of proactive network defense strategies, ultimately enhancing the security posture of organizations in the digital age.

Mr. Almuhaisen, Salman N

Salman is a recognized subject matter expert in the field of Information Security and data protection with more than 10 years of experience working on different roles. Currently, leading Information Security Analysts group within Saudi Aramco in KSA.