Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798337392110
Quantità: Più di 20 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798337392110
Quantità: Più di 20 disponibili
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. The adoption of AI in security systems transforms the way organizations detect threats, monitor activities, and respond to cyber and physical security risks. AI-driven security technologies leverage advanced data analytics, machine learning, and automated decision-making to enhance efficiency and strengthen protection against attacks. However, the collection, processing, and analysis of personal and sensitive information raise legal and privacy concerns. Issues related to data protection, user consent, transparency, accountability, algorithmic bias, and regulatory compliance have become central to the responsible deployment of these systems. As governments and regulatory bodies govern AI and data privacy, understanding the legal and ethical implications of AI-driven security systems may help balance innovation, security, and the protection of individual rights. Legal and Privacy Considerations for AI-Driven Security Systems examines how intelligent and generative models transform cybersecurity practices. It addresses the new threats, vulnerabilities, and ethical concerns introduced by these technologies. This book covers topics such as data science, supply chains, and cybersecurity, and is a useful resource for engineers, government officials, policymakers, security professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798337392110
Quantità: 1 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. The adoption of AI in security systems transforms the way organizations detect threats, monitor activities, and respond to cyber and physical security risks. AI-driven security technologies leverage advanced data analytics, machine learning, and automated decision-making to enhance efficiency and strengthen protection against attacks. However, the collection, processing, and analysis of personal and sensitive information raise legal and privacy concerns. Issues related to data protection, user consent, transparency, accountability, algorithmic bias, and regulatory compliance have become central to the responsible deployment of these systems. As governments and regulatory bodies govern AI and data privacy, understanding the legal and ethical implications of AI-driven security systems may help balance innovation, security, and the protection of individual rights. Legal and Privacy Considerations for AI-Driven Security Systems examines how intelligent and generative models transform cybersecurity practices. It addresses the new threats, vulnerabilities, and ethical concerns introduced by these technologies. This book covers topics such as data science, supply chains, and cybersecurity, and is a useful resource for engineers, government officials, policymakers, security professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798337392110
Quantità: 1 disponibili
Da: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condizione: new. Paperback. The adoption of AI in security systems transforms the way organizations detect threats, monitor activities, and respond to cyber and physical security risks. AI-driven security technologies leverage advanced data analytics, machine learning, and automated decision-making to enhance efficiency and strengthen protection against attacks. However, the collection, processing, and analysis of personal and sensitive information raise legal and privacy concerns. Issues related to data protection, user consent, transparency, accountability, algorithmic bias, and regulatory compliance have become central to the responsible deployment of these systems. As governments and regulatory bodies govern AI and data privacy, understanding the legal and ethical implications of AI-driven security systems may help balance innovation, security, and the protection of individual rights. Legal and Privacy Considerations for AI-Driven Security Systems examines how intelligent and generative models transform cybersecurity practices. It addresses the new threats, vulnerabilities, and ethical concerns introduced by these technologies. This book covers topics such as data science, supply chains, and cybersecurity, and is a useful resource for engineers, government officials, policymakers, security professionals, academicians, researchers, and scientists. 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. Codice articolo 9798337392110
Quantità: 1 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Legal and Privacy Considerations for AI-Driven Security Systems | Amer Ibrahim (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337392110 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 136369148
Quantità: 5 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The adoption of AI in security systems transforms the way organizations detect threats, monitor activities, and respond to cyber and physical security risks. AI-driven security technologies leverage advanced data analytics, machine learning, and automated decision-making to enhance efficiency and strengthen protection against attacks. However, the collection, processing, and analysis of personal and sensitive information raise legal and privacy concerns. Issues related to data protection, user consent, transparency, accountability, algorithmic bias, and regulatory compliance have become central to the responsible deployment of these systems. As governments and regulatory bodies govern AI and data privacy, understanding the legal and ethical implications of AI-driven security systems may help balance innovation, security, and the protection of individual rights. Legal and Privacy Considerations for AI-Driven Security Systems examines how intelligent and generative models transform cybersecurity practices. It addresses the new threats, vulnerabilities, and ethical concerns introduced by these technologies. This book covers topics such as data science, supply chains, and cybersecurity, and is a useful resource for engineers, government officials, policymakers, security professionals, academicians, researchers, and scientists. Codice articolo 9798337392110
Quantità: 2 disponibili