FUTURE OF CYBER DEFENSE: SELF-LEARNING NEURAL CYBER IMMUNITYHOW AI AND BIOLOGICAL IMMUNITY ARE TRANSFORMING ADVANCED THREATLANDSCAPES.
Keywords:
Self-Learning Neural Cyber Immunity, Artificial Immune Systems, Zero-Day Threats, Autonomous Cyber Defense, Adaptive Security, BioInspired AI, Threat Detection and Response, Machine Learning in Cybersecurity.Abstract
This article explores the transformative concept of Self-Learning Neural Cyber Immunity (SLNCI), a next-generation cybersecurity paradigm that merges artificial intelligence with biological immunity principles to create adaptive, autonomous defense systems. SLNCI moves beyond traditional signature-based detection, offering continuous learning and real-time adaptation against advanced persistent threats (APTs) and zero-day vulnerabilities. The article details the architectural components, learning mechanisms, and wide-ranging applications of SLNCI, while addressing implementation challenges and ethical considerations. By integrating neural networks with artificial immune systems (AIS), SLNCI represents a fundamental shift toward proactive, resilient cyber defense infrastructures capable of evolving alongside emerging threats.
