From ChatGPT to HackGPT : meeting the cybersecurity threat of generative AI /

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Bibliographic Details
Author / Creator:	Renaud, Karen, author.
Edition:	[First edition].
Imprint:	[Cambridge, Massachusetts] : MIT Sloan Management Review, 2023.
Description:	1 online resource (6 pages)
Language:	English
Subject:	Computer security -- Management. Artificial intelligence. Artificial intelligence Computer security -- Management
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13710431

Hidden Bibliographic Details
Varying Form of Title:	Meeting the cybersecurity threat of generative AI Meeting the cybersecurity threat of generative artificial intelligence
Other authors / contributors:	Warkentin, Merrill, author. Westerman, George, 1963- author.
Notes:	Reprint #64428.
Summary:	Emerging generative AI technologies such as ChatGPT are putting new tools in the hands of hackers. Companies will need to shift from traditional defensive tools and rule-based strategies to respond to next-level AI-generated threats in real time. This will require both smarter technologies and smarter employees. The authors discuss businesses' options for establishing a modern approach to cyberdefense in the face of artificial intelligence-based security threats.
Standard no.:	53863MIT64428

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From ChatGPT to HackGPT : meeting the cybersecurity threat of generative AI /

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