Examining cybersecurity risks produced by generative AI / [edited by] Ammar Almomani, Mohammad Alauthman.

Other author Almomani, Ammar, 1981
Other author Alauthman, Mohammad, 1979
Format Electronic
Publication InfoHershey, PA : IGI Global Scientific Publishing, [2025]
Descriptionxxiv, 678 pages illustrations 28 cm
Supplemental ContentFull text available from InfoSci-Books
Subjects

Variant title Examining cybersecurity risks produced by generative artificial intelligence
Physical mediumillustrations
Abstract "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"--Amazon.com.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2025001230
ISBN9798337308333 paperback
ISBNelectronic book
ISBN9798337308326 hardcover
ISBNelectronic book

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