Self-Defending Enterprise Infrastructure: AI-Driven Security, Zero Trust, and Autonomous Cyber Defense

Self-Defending Enterprise Infrastructure: AI-Driven Security, Zero Trust, and Autonomous Cyber Defense presents a comprehensive exploration of intelligent cybersecurity architectures developed for modern enterprise ecosystems. The book examines the transformation of traditional security frameworks into adaptive, autonomous, and AI-driven defense infrastructures capable of operating across cloud-native, hybrid, and distributed enterprise environments. The book introduces advanced concepts including the Self-Defending Enterprise Infrastructure (SDEI) Framework and the AI-Based Threat Intelligence Correlation Engine (ATICE), emphasizing the role of artificial intelligence, telemetry analytics, behavioral threat modeling, deep packet inspection, predictive cybersecurity, and autonomous response systems in strengthening enterprise resilience. Through detailed technical discussions, the book addresses enterprise network security, zero trust architectures, AI-driven threat detection, self-healing infrastructures, cloud security, infrastructure orchestration, and intelligent cyber defense mechanisms designed to counter rapidly evolving cyber threats. The work serves as a valuable resource for cybersecurity professionals, infrastructure architects, cloud engineers, DevSecOps practitioners, researchers, and advanced learners seeking insights into next-generation enterprise security systems and autonomous digital defense strategies.