Governance and Automated Security in AI-Driven Cybersecurity

Organizations establish robust frameworks to manage risk, ensure accountability, and maintain trust while deploying intelligent defense systems. As AI powers threat detection, response, and prevention, governance structures address issues like transparency, ethical use, compliance, and oversight of autonomous decision-making. Automation enables faster security operations, capable of identifying and mitigating threats across digital environments. Further exploration may reveal how effective governance and advanced automation strengthen resilience in an evolving cybersecurity landscape. Governance and Automated Security in AI-Driven Cybersecurity explores the transformative intersection between AI and cybersecurity, focusing on how AI reshapes security practices, protocols, and threats in the digital landscape. It examines various challenges, including AI-driven attacks, ethical considerations, and the need for robust governance. This book covers topics such as enterprise security, quantum computing, and 6G technology, and is a useful resource for security professionals, engineers, academicians, researchers, and scientists.