This study examines the paradigm shift from periodic, audit-based cybersecurity compliance to AI-enabled continuous control within Critical Infrastructure (CI) environments. As CI systems face escalating threats, traditional compliance models prove inadequate for ensuring real-time security. The research investigates how Artificial Intelligence-Based Security Posture Management (ASPM) facilitates continuous monitoring, automated threat detection, and dynamic policy enforcement, enabling real-time adherence to the NIST Cybersecurity Framework (CSF). Through a synthesis of academic and industry literature, the analysis highlights the operational benefits, organizational challenges, and governance implications of this transition. The findings demonstrate that ASPM enhances resilience and compliance readiness but requires addressing technical integration, workforce skills, and evolving regulatory standards. The study concludes by offering recommendations for CI operators, policymakers, and future research to optimize the adoption of intelligent, continuous security controls.
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Amadi holds a Master of Science in Cyber Security from the University of York, United Kingdom. His graduate research focused on forensic text analysis in web fragments, strengthening his analytical grounding in cyber forensics, digital evidence analysis, and security research methodologies.
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Paperback. Zustand: new. Paperback. This study examines the paradigm shift from periodic, audit-based cybersecurity compliance to AI-enabled continuous control within Critical Infrastructure (CI) environments. As CI systems face escalating threats, traditional compliance models prove inadequate for ensuring real-time security. The research investigates how Artificial Intelligence-Based Security Posture Management (ASPM) facilitates continuous monitoring, automated threat detection, and dynamic policy enforcement, enabling real-time adherence to the NIST Cybersecurity Framework (CSF). Through a synthesis of academic and industry literature, the analysis highlights the operational benefits, organizational challenges, and governance implications of this transition. The findings demonstrate that ASPM enhances resilience and compliance readiness but requires addressing technical integration, workforce skills, and evolving regulatory standards. The study concludes by offering recommendations for CI operators, policymakers, and future research to optimize the adoption of intelligent, continuous security controls. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209415364
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Paperback. Zustand: new. Paperback. This study examines the paradigm shift from periodic, audit-based cybersecurity compliance to AI-enabled continuous control within Critical Infrastructure (CI) environments. As CI systems face escalating threats, traditional compliance models prove inadequate for ensuring real-time security. The research investigates how Artificial Intelligence-Based Security Posture Management (ASPM) facilitates continuous monitoring, automated threat detection, and dynamic policy enforcement, enabling real-time adherence to the NIST Cybersecurity Framework (CSF). Through a synthesis of academic and industry literature, the analysis highlights the operational benefits, organizational challenges, and governance implications of this transition. The findings demonstrate that ASPM enhances resilience and compliance readiness but requires addressing technical integration, workforce skills, and evolving regulatory standards. The study concludes by offering recommendations for CI operators, policymakers, and future research to optimize the adoption of intelligent, continuous security controls. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9786209415364
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Paperback. Zustand: new. Paperback. This study examines the paradigm shift from periodic, audit-based cybersecurity compliance to AI-enabled continuous control within Critical Infrastructure (CI) environments. As CI systems face escalating threats, traditional compliance models prove inadequate for ensuring real-time security. The research investigates how Artificial Intelligence-Based Security Posture Management (ASPM) facilitates continuous monitoring, automated threat detection, and dynamic policy enforcement, enabling real-time adherence to the NIST Cybersecurity Framework (CSF). Through a synthesis of academic and industry literature, the analysis highlights the operational benefits, organizational challenges, and governance implications of this transition. The findings demonstrate that ASPM enhances resilience and compliance readiness but requires addressing technical integration, workforce skills, and evolving regulatory standards. The study concludes by offering recommendations for CI operators, policymakers, and future research to optimize the adoption of intelligent, continuous security controls. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209415364
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