Mounia Zaydi – författare

In an era defined by rapid digital transformation, Agile Security in the Digital Era: Challenges and Cybersecurity Trends emerges as a pivotal resource for navigating the complex and ever-evolving cybersecurity landscape. This book offers a comprehensive exploration of how agile methodologies can be integrated into cybersecurity practices to address both current challenges and anticipate future threats. Through a blend of theoretical insights and practical applications, it equips professionals with the tools necessary to develop proactive security strategies that are robust, flexible, and effective. The key features of the book below highlight these innovative approaches.· Integration of agile practices: Detailed guidance on incorporating agile methodologies into cybersecurity frameworks to enhance adaptability and responsiveness.· Comprehensive case studies: Real-world applications and case studies that demonstrate the successful implementation of agile security strategies across various industries.· Future-proof security tactics: Insights into emerging technologies such as blockchain and IoT, offering a forward-looking perspective on how to harness these innovations securely.Intended for cybersecurity professionals, IT managers, and policymakers, Agile Security in the Digital Era serves as an essential guide to understanding and implementing advanced security measures in a digital world. The book provides actionable intelligence and strategies, enabling readers to stay ahead of the curve in a landscape where agile responsiveness is just as crucial as defensive capability. With its focus on cutting-edge research and practical solutions, this book is a valuable asset for anyone committed to securing digital assets against the increasing sophistication of cyber threats.

The acceleration of the digital transformation of critical infrastructure, government services, and military systems has profoundly changed the cyber threat landscape. Governments now face cyber risks of unprecedented scale and sophistication, ranging from advanced persistent threats (APTs) and AI-assisted cyber espionage to large-scale ransomware campaigns, hybrid cyber-physical attacks, and information influence operations. In this context, traditional and reactive approaches to cybersecurity are no longer sufficient to ensure effective national cyber defense and resilience. AI-Driven National Cyber Defense and Resilience Strategies offers an in-depth, forward-looking analysis of how artificial intelligence; specifically, machine learning, deep learning, and generative AI; can be leveraged to strengthen national cyber defense capabilities. The book explores the role of AI in improving threat intelligence, intrusion detection, incident response, cyber deception, security orchestration, and large-scale decision support, while highlighting the new risks posed by adversaries themselves equipped with advanced AI capabilities. Bringing together contributions from researchers, industry experts, and institutional decision-makers, this book presents cutting-edge methodologies, innovative architectural frameworks, and concrete use cases from national security operations centers (SOCs), incident response teams (CSIRTs), military cyber commands, and critical infrastructure operators. Particular attention is given to the concepts of AI-driven cyber resilience, including adaptive defense, autonomous response, cyber situational awareness, and collaborative intelligence sharing at the national and international levels. Beyond technological advances, the book critically examines the issues of governance, ethics, trust, and regulation related to the deployment of artificial intelligence in contexts of digital sovereignty and national defense. By bringing together technical innovations, strategic considerations, and regulatory frameworks, this volume is a leading reference for researchers, practitioners, and decision-makers seeking to design resilient, secure, and trustworthy national cyber defense ecosystems in the age of artificial intelligence.