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AI/ML Within IS Auditing and Cybersecurity
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Author(s): Robert Casal (University at Buffalo, SUNY, USA), Raghvendra Singh (University at Buffalo, SUNY, USA), Daniel Della Posta (University at Buffalo, SUNY, USA)and James Quinn (University at Buffalo, SUNY, USA)
Copyright: 2023
Pages: 24
Source title:
Modernizing Enterprise IT Audit Governance and Management Practices
Source Author(s)/Editor(s): Manish Gupta (University at Buffalo, SUNY, USA)and Raj Sharman (University at Buffalo, SUNY, USA)
DOI: 10.4018/978-1-6684-8766-2.ch001
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Abstract
The adoption of AI and ML based technologies has exploded in recent years and has successfully been applied to various industries such as social media and healthcare. Organizations use many different statistically based AI and ML techniques, processes, and models to analyze and interpret data, identify any trends or patterns present, and ultimately improve a business process or gain a competitive advantage; this chapter will explore the use of AI and ML within IS auditing and cybersecurity.
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