Enhancing Network Security with AI and ML
Ralph A. Young · Productivity Press eBooks · 2025
The digital perimeter of the modern organization has become increasingly fluid and complex, extending beyond traditional firewalls to encompass cloud environments, mobile devices, and the Internet of Things (IoT). This expansion has created a vast and constantly evolving attack surface, rendering conventional, signature-based network security measures insufficient. These legacy systems rely on recognizing the fingerprints of known threats, leaving them blind to novel, zero-day attacks and sophisticated, multi-stage campaigns that mimic legitimate traffic. To defend against these advanced persistent threats, a paradigm shift is necessary—from reactive blocking to proactive intelligence. This is where the integration of Artificial Intelligence (AI) and Machine Learning (ML) is fundamentally transforming network defense, moving it towards a predictive and adaptive model.