Alauthman Mohammad (74 results)

Paperback. Condition: new. Paperback. As generative artificial intelligence (AI) evolves, it introduces new opportunities across industries, from content creation to problem-solving. However, with these advancements come significant cybersecurity risks that demand closer scrutiny. Generative AI, capable of producing text, images, code, and deepfakes, presents challenges in cybersecurity. Malicious scammers could leverage these technologies to automate cyberattacks, create sophisticated phishing schemes, or bypass traditional security systems with efficiency. This intersection of cutting-edge AI and cybersecurity concerns requires new organizational safeguards for digital environments, highlighting the need for new protocols, regulations, and proactive defense mechanisms to mitigate potential threats. Examining Cybersecurity Risks Produced by Generative AI addresses the intersections of generative AI with cybersecurity, presenting its applications, potential risks, and security frameworks designed to harness its benefits while mitigating challenges. It provides a comprehensive, up-to-date resource on integrating generative models into cybersecurity practice and research. This book covers topics such as deepfakes, smart cities, and phishing attacks, and is a useful resource for computer engineers, security professionals, business owners, policymakers, academicians, researchers, and data scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. As societies utilize smart technologies, the need for cybersecurity measures and cross-sector cyber insurance grows more urgent. In an intelligent society, cyber incidents can have extreme impacts. Cross-sector cyber insurance emerges as a tool to manage these risks, offering financial protection, resilience planning, and coordinated response mechanisms. However, this field faces challenges in standardizing risk assessment, ensuring regulatory compliance, and fostering collaboration across industries. As threats become sophisticated, the development of cyber insurance frameworks is essential to safeguarding both public and private sectors in a digital world. Cross-Sector Cyber Insurance for the Intelligent Society explores the role of cyber insurance in managing digital risks across sectors within a connected and data-driven society. It examines how cross-sector collaboration, regulatory frameworks, and cyber threats influence the design of cyber insurance models. This book covers topics such as cyber technology, risk assessment, and healthcare systems, and is a useful resource for engineers, business owners, policymakers, educators, medical professionals, academicians, researchers, and scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. In.

Paperback. Condition: new. Paperback. AI-driven cybersecurity insurance represents a transformation of technology, risk management, and organizational governance. As cyber threats become more sophisticated, traditional models of cybersecurity struggle when handling the scale and complexity of online threats. AI offers tools for real-time threat detection, predictive analytics, and automated response, reshaping how insurers assess risk, price policies, and support resilience. The integration of AI into cybersecurity insurance raises questions about accountability, transparency, and ethical governance. Exploring these innovations may reveal new possibilities for protecting digital assets and the need for robust frameworks to ensure responsible and equitable usage of AI technologies. AI-Driven Cybersecurity Insurance: Innovations in Risk, Governance, and Digital Resilience explores the integration of intelligent technologies and cybersecurity into financial practices. It examines the use of AI-empowered cybersecurity for risk management, business governance, and digital solutions. This book covers topics such as fraud detection, supply chains, and metaverse, and is a useful resource for business owners, computer engineers, policymakers, academicians, researchers, and data scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. As generative artificial intelligence (AI) evolves, it introduces new opportunities across industries, from content creation to problem-solving. However, with these advancements come significant cybersecurity risks that demand closer scrutiny. Generative AI, capable of producing text, images, code, and deepfakes, presents challenges in cybersecurity. Malicious scammers could leverage these technologies to automate cyberattacks, create sophisticated phishing schemes, or bypass traditional security systems with efficiency. This intersection of cutting-edge AI and cybersecurity concerns requires new organizational safeguards for digital environments, highlighting the need for new protocols, regulations, and proactive defense mechanisms to mitigate potential threats. Examining Cybersecurity Risks Produced by Generative AI addresses the intersections of generative AI with cybersecurity, presenting its applications, potential risks, and security frameworks designed to harness its benefits while mitigating challenges. It provides a comprehensive, up-to-date resource on integrating generative models into cybersecurity practice and research. This book covers topics such as deepfakes, smart cities, and phishing attacks, and is a useful resource for computer engineers, security professionals, business owners, policymakers, academicians, researchers, and data scientists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New.

Hardcover. Condition: new. Hardcover. As societies utilize smart technologies, the need for cybersecurity measures and cross-sector cyber insurance grows more urgent. In an intelligent society, cyber incidents can have extreme impacts. Cross-sector cyber insurance emerges as a tool to manage these risks, offering financial protection, resilience planning, and coordinated response mechanisms. However, this field faces challenges in standardizing risk assessment, ensuring regulatory compliance, and fostering collaboration across industries. As threats become sophisticated, the development of cyber insurance frameworks is essential to safeguarding both public and private sectors in a digital world. Cross-Sector Cyber Insurance for the Intelligent Society explores the role of cyber insurance in managing digital risks across sectors within a connected and data-driven society. It examines how cross-sector collaboration, regulatory frameworks, and cyber threats influence the design of cyber insurance models. This book covers topics such as cyber technology, risk assessment, and healthcare systems, and is a useful resource for engineers, business owners, policymakers, educators, medical professionals, academicians, researchers, and scientists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. Paperback. As cyber threats grow in frequency and complexity, cybersecurity insurance emerge as a necessity for businesses navigating digital risk. In the AI era, both the nature of attacks and the defense mechanisms evolve rapidly, prompting a transformation in how cyber insurance frameworks are designed and delivered. AI enables more precise risk modeling, faster incident response, and streamlined claims processing, making policies smarter, more adaptive, and data driven. For businesses, this convergence of cybersecurity and AI-driven insurance innovation offers protection and a competitive edge in managing operational and reputational risk. Cybersecurity Insurance Frameworks and Innovations in the AI Era explores cybersecurity insurance as a critical risk management tool for escalating cyber threats. It examines methodologies, challenges, and emerging trends in cybersecurity insurance, bridging the gap between traditional risk management frameworks and cutting-edge technologies like AI and blockchain. This book covers topics such as artificial intelligence, security and privacy, and data science, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and scientists. "This book explores the intersection of cybersecurity, risk management, and artificial intelligence (AI). It provides a comprehensive examination of the frameworks, methodologies, and technological advancements shaping cybersecurity insurance"-- Provided by publisher. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. AI-driven cybersecurity insurance represents a transformation of technology, risk management, and organizational governance. As cyber threats become more sophisticated, traditional models of cybersecurity struggle when handling the scale and complexity of online threats. AI offers tools for real-time threat detection, predictive analytics, and automated response, reshaping how insurers assess risk, price policies, and support resilience. The integration of AI into cybersecurity insurance raises questions about accountability, transparency, and ethical governance. Exploring these innovations may reveal new possibilities for protecting digital assets and the need for robust frameworks to ensure responsible and equitable usage of AI technologies. AI-Driven Cybersecurity Insurance: Innovations in Risk, Governance, and Digital Resilience explores the integration of intelligent technologies and cybersecurity into financial practices. It examines the use of AI-empowered cybersecurity for risk management, business governance, and digital solutions. This book covers topics such as fraud detection, supply chains, and metaverse, and is a useful resource for business owners, computer engineers, policymakers, academicians, researchers, and data scientists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Emerging technologies revolutionize urban development and governance, offering innovative solutions to the complex challenges faced by modern cities. From smart infrastructure and data-driven decision-making to the rise of artificial intelligence, blockchain, and the Internet of Things (IoT), these technologies transform how cities are planned, built, and managed. Smart cities now leverage real-time data to optimize traffic flow, reduce energy consumption, enhance public services, and improve citizen engagement. Blockchain enables transparent governance and secure transactions, while AI assists in predictive modeling and urban planning. As these technologies continue to advance, they promise to create more sustainable, efficient, and resilient urban environments, where governance is more responsive, inclusive, and capable. Revolutionizing Urban Development and Governance With Emerging Technologies explores the dynamic and evolving domain of smart cities, with a focus on strategies, initiatives, and methodologies for project assessment. It emphasizes how emerging technologies, such as blockchain and smart contracts, revolutionize urban development by enhancing transparency, efficiency, and trust in urban governance and service delivery. This book covers topics such as digital twins, sensor technology, and smart cities, and is a useful resource for engineers, policymakers, urban developers, academicians, researchers, and environmental scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. AI-driven security systems and intelligent threat response using autonomous cyber defense represent the cutting edge of cybersecurity technology. As cyber threats become more sophisticated, traditional defense mechanisms struggle to keep up with the scale and speed of attacks. AI-powered security systems utilize machine learning, pattern recognition, and data analysis to detect vulnerabilities, predict breaches, and respond to threats. These systems can learn from emerging threats, adapting to new attack methods and autonomously executing countermeasures without human intervention. By using advanced algorithms to recognize anomalies and mitigate risks, autonomous cyber defense offers a proactive solution to protect sensitive data and networks, ensuring faster responses to cyber incidents. AI-Driven Security Systems and Intelligent Threat Response Using Autonomous Cyber Defense delves into the cutting-edge integration of autonomous systems in cybersecurity, emphasizing AI-driven threat detection, response, and system resilience. It bridges the gap between traditional cybersecurity methods and emerging autonomous defense systems, presenting in-depth coverage of AI-driven security mechanisms, automated threat responses, and intelligent defense strategies. This book covers topics such as cybersecurity, infrastructure, and defense systems, and is a useful resource for engineers, security professionals, business owners, academicians, researchers, and computer scientists. "This work explores the cutting-edge intersection of artificial intelligence and cybersecurity, providing both theoretical foundations and practical implementations. Through detailed case studies, technical analyses, and future projections, it examines how autonomous cyber defense is reshaping security landscapes across critical infrastructure and connected environments"-- Provided by publisher. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. AI-driven security systems and intelligent threat response using autonomous cyber defense represent the cutting edge of cybersecurity technology. As cyber threats become more sophisticated, traditional defense mechanisms struggle to keep up with the scale and speed of attacks. AI-powered security systems utilize machine learning, pattern recognition, and data analysis to detect vulnerabilities, predict breaches, and respond to threats. These systems can learn from emerging threats, adapting to new attack methods and autonomously executing countermeasures without human intervention. By using advanced algorithms to recognize anomalies and mitigate risks, autonomous cyber defense offers a proactive solution to protect sensitive data and networks, ensuring faster responses to cyber incidents. AI-Driven Security Systems and Intelligent Threat Response Using Autonomous Cyber Defense delves into the cutting-edge integration of autonomous systems in cybersecurity, emphasizing AI-driven threat detection, response, and system resilience. It bridges the gap between traditional cybersecurity methods and emerging autonomous defense systems, presenting in-depth coverage of AI-driven security mechanisms, automated threat responses, and intelligent defense strategies. This book covers topics such as cybersecurity, infrastructure, and defense systems, and is a useful resource for engineers, security professionals, business owners, academicians, researchers, and computer scientists. "This work explores the cutting-edge intersection of artificial intelligence and cybersecurity, providing both theoretical foundations and practical implementations. Through detailed case studies, technical analyses, and future projections, it examines how autonomous cyber defense is reshaping security landscapes across critical infrastructure and connected environments"-- Provided by publisher. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. In.

Hardcover. Condition: new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. As cyber threats grow in frequency and complexity, cybersecurity insurance emerge as a necessity for businesses navigating digital risk. In the AI era, both the nature of attacks and the defense mechanisms evolve rapidly, prompting a transformation in how cyber insurance frameworks are designed and delivered. AI enables more precise risk modeling, faster incident response, and streamlined claims processing, making policies smarter, more adaptive, and data driven. For businesses, this convergence of cybersecurity and AI-driven insurance innovation offers protection and a competitive edge in managing operational and reputational risk. Cybersecurity Insurance Frameworks and Innovations in the AI Era explores cybersecurity insurance as a critical risk management tool for escalating cyber threats. It examines methodologies, challenges, and emerging trends in cybersecurity insurance, bridging the gap between traditional risk management frameworks and cutting-edge technologies like AI and blockchain. This book covers topics such as artificial intelligence, security and privacy, and data science, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and scientists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. As societies utilize smart technologies, the need for cybersecurity measures and cross-sector cyber insurance grows more urgent. In an intelligent society, cyber incidents can have extreme impacts. Cross-sector cyber insurance emerges as a tool to manage these risks, offering financial protection, resilience planning, and coordinated response mechanisms. However, this field faces challenges in standardizing risk assessment, ensuring regulatory compliance, and fostering collaboration across industries. As threats become sophisticated, the development of cyber insurance frameworks is essential to safeguarding both public and private sectors in a digital world. Cross-Sector Cyber Insurance for the Intelligent Society explores the role of cyber insurance in managing digital risks across sectors within a connected and data-driven society. It examines how cross-sector collaboration, regulatory frameworks, and cyber threats influence the design of cyber insurance models. This book covers topics such as cyber technology, risk assessment, and healthcare systems, and is a useful resource for engineers, business owners, policymakers, educators, medical professionals, academicians, researchers, and scientists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. As cyber threats grow in frequency and complexity, cybersecurity insurance emerge as a necessity for businesses navigating digital risk. In the AI era, both the nature of attacks and the defense mechanisms evolve rapidly, prompting a transformation in how cyber insurance frameworks are designed and delivered. AI enables more precise risk modeling, faster incident response, and streamlined claims processing, making policies smarter, more adaptive, and data driven. For businesses, this convergence of cybersecurity and AI-driven insurance innovation offers protection and a competitive edge in managing operational and reputational risk. Cybersecurity Insurance Frameworks and Innovations in the AI Era explores cybersecurity insurance as a critical risk management tool for escalating cyber threats. It examines methodologies, challenges, and emerging trends in cybersecurity insurance, bridging the gap between traditional risk management frameworks and cutting-edge technologies like AI and blockchain. This book covers topics such as artificial intelligence, security and privacy, and data science, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and scientists. "This book explores the intersection of cybersecurity, risk management, and artificial intelligence (AI). It provides a comprehensive examination of the frameworks, methodologies, and technological advancements shaping cybersecurity insurance"-- Provided by publisher. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. AI-driven cybersecurity insurance represents a transformation of technology, risk management, and organizational governance. As cyber threats become more sophisticated, traditional models of cybersecurity struggle when handling the scale and complexity of online threats. AI offers tools for real-time threat detection, predictive analytics, and automated response, reshaping how insurers assess risk, price policies, and support resilience. The integration of AI into cybersecurity insurance raises questions about accountability, transparency, and ethical governance. Exploring these innovations may reveal new possibilities for protecting digital assets and the need for robust frameworks to ensure responsible and equitable usage of AI technologies. AI-Driven Cybersecurity Insurance: Innovations in Risk, Governance, and Digital Resilience explores the integration of intelligent technologies and cybersecurity into financial practices. It examines the use of AI-empowered cybersecurity for risk management, business governance, and digital solutions. This book covers topics such as fraud detection, supply chains, and metaverse, and is a useful resource for business owners, computer engineers, policymakers, academicians, researchers, and data scientists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Emerging technologies revolutionize urban development and governance, offering innovative solutions to the complex challenges faced by modern cities. From smart infrastructure and data-driven decision-making to the rise of artificial intelligence, blockchain, and the Internet of Things (IoT), these technologies transform how cities are planned, built, and managed. Smart cities now leverage real-time data to optimize traffic flow, reduce energy consumption, enhance public services, and improve citizen engagement. Blockchain enables transparent governance and secure transactions, while AI assists in predictive modeling and urban planning. As these technologies continue to advance, they promise to create more sustainable, efficient, and resilient urban environments, where governance is more responsive, inclusive, and capable. Revolutionizing Urban Development and Governance With Emerging Technologies explores the dynamic and evolving domain of smart cities, with a focus on strategies, initiatives, and methodologies for project assessment. It emphasizes how emerging technologies, such as blockchain and smart contracts, revolutionize urban development by enhancing transparency, efficiency, and trust in urban governance and service delivery. This book covers topics such as digital twins, sensor technology, and smart cities, and is a useful resource for engineers, policymakers, urban developers, academicians, researchers, and environmental scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Emerging technologies revolutionize urban development and governance, offering innovative solutions to the complex challenges faced by modern cities. From smart infrastructure and data-driven decision-making to the rise of artificial intelligence, blockchain, and the Internet of Things (IoT), these technologies transform how cities are planned, built, and managed. Smart cities now leverage real-time data to optimize traffic flow, reduce energy consumption, enhance public services, and improve citizen engagement. Blockchain enables transparent governance and secure transactions, while AI assists in predictive modeling and urban planning. As these technologies continue to advance, they promise to create more sustainable, efficient, and resilient urban environments, where governance is more responsive, inclusive, and capable. Revolutionizing Urban Development and Governance With Emerging Technologies explores the dynamic and evolving domain of smart cities, with a focus on strategies, initiatives, and methodologies for project assessment. It emphasizes how emerging technologies, such as blockchain and smart contracts, revolutionize urban development by enhancing transparency, efficiency, and trust in urban governance and service delivery. This book covers topics such as digital twins, sensor technology, and smart cities, and is a useful resource for engineers, policymakers, urban developers, academicians, researchers, and environmental scientists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. AI-driven security systems and intelligent threat response using autonomous cyber defense represent the cutting edge of cybersecurity technology. As cyber threats become more sophisticated, traditional defense mechanisms struggle to keep up with the scale and speed of attacks. AI-powered security systems utilize machine learning, pattern recognition, and data analysis to detect vulnerabilities, predict breaches, and respond to threats. These systems can learn from emerging threats, adapting to new attack methods and autonomously executing countermeasures without human intervention. By using advanced algorithms to recognize anomalies and mitigate risks, autonomous cyber defense offers a proactive solution to protect sensitive data and networks, ensuring faster responses to cyber incidents. AI-Driven Security Systems and Intelligent Threat Response Using Autonomous Cyber Defense delves into the cutting-edge integration of autonomous systems in cybersecurity, emphasizing AI-driven threat detection, response, and system resilience. It bridges the gap between traditional cybersecurity methods and emerging autonomous defense systems, presenting in-depth coverage of AI-driven security mechanisms, automated threat responses, and intelligent defense strategies. This book covers topics such as cybersecurity, infrastructure, and defense systems, and is a useful resource for engineers, security professionals, business owners, academicians, researchers, and computer scientists. "This work explores the cutting-edge intersection of artificial intelligence and cybersecurity, providing both theoretical foundations and practical implementations. Through detailed case studies, technical analyses, and future projections, it examines how autonomous cyber defense is reshaping security landscapes across critical infrastructure and connected environments"-- Provided by publisher. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.