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Indigo AI for Cybersecurity: Standards and Regulations for Global Techno-Policy Framework | Erin Mills Town Centre
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"AI for Cybersecurity: Standards and Regulations for Global Techno-Policy Framework" explores the intersection of artificial intelligence (AI) and cybersecurity, addressing the need for standardized regulations to protect digital infrastructures. With AI's increasing role in threat detection and risk management, this book provides a comprehensive guide to balancing innovation with security and ethical considerations. The book delves into AI-driven cybersecurity technologies, covering topics such as machine learning-based threat detection, anomaly detection, and automated cyber defense mechanisms. It also examines adversarial AI threats and their implications for global security. On the policy side, the book discusses the importance of regulatory frameworks and the role of international organizations like the International Telecommunication Union (ITU) in setting cybersecurity standards. It aligns with the United Nations Sustainable Development Goals (SDGs), particularly Goals 9 (Industry, Innovation, and Infrastructure) and 16 (Peace, Justice, and Strong Institutions), ensuring a responsible and sustainable approach to AI in cybersecurity. Aimed at cybersecurity professionals, policymakers, business leaders, and researchers, this book offers real-world case studies, best practices, and strategic recommendations to strengthen cybersecurity at a global scale. Its interdisciplinary approach makes it a valuable resource for anyone looking to understand the future of AI-driven security governance.
"AI for Cybersecurity: Standards and Regulations for Global Techno-Policy Framework" explores the intersection of artificial intelligence (AI) and cybersecurity, addressing the need for standardized regulations to protect digital infrastructures. With AI's increasing role in threat detection and risk management, this book provides a comprehensive guide to balancing innovation with security and ethical considerations. The book delves into AI-driven cybersecurity technologies, covering topics such as machine learning-based threat detection, anomaly detection, and automated cyber defense mechanisms. It also examines adversarial AI threats and their implications for global security. On the policy side, the book discusses the importance of regulatory frameworks and the role of international organizations like the International Telecommunication Union (ITU) in setting cybersecurity standards. It aligns with the United Nations Sustainable Development Goals (SDGs), particularly Goals 9 (Industry, Innovation, and Infrastructure) and 16 (Peace, Justice, and Strong Institutions), ensuring a responsible and sustainable approach to AI in cybersecurity. Aimed at cybersecurity professionals, policymakers, business leaders, and researchers, this book offers real-world case studies, best practices, and strategic recommendations to strengthen cybersecurity at a global scale. Its interdisciplinary approach makes it a valuable resource for anyone looking to understand the future of AI-driven security governance.
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