Securing the Future of Artificial Intelligence: A Comprehensive Overview of AI Security Measures

Securing the Future of Artificial Intelligence: A Comprehensive Overview of AI Security Measures

DOI: 10.4018/978-1-6684-9324-3.ch008
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Abstract

The criticality of protecting artificial intelligence (AI) systems from malicious attacks has become increasingly paramount as they become ubiquitous in our daily lives. This chapter delves comprehensively into various dimensions of AI security, including detecting and preventing attacks, identifying vulnerabilities, ensuring privacy, establishing robust machine learning models, mitigating fraud, assessing risk, monitoring security, managing access, safeguarding against peripheral device attacks, and providing comprehensive security training. The chapter strongly emphasizes the urgent need to impose rigorous security measures to ensure the reliable and secure functioning of AI systems.
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Literature Review

The prevalence of artificial intelligence (AI) systems in different fields has made them vulnerable to attacks. Attackers can exploit weaknesses in these systems by introducing harmful data or manipulating training data, which can lead to the manipulation of the system's output (Liu, Y., Chen, L., and Wang, X., 2019). Therefore, developing algorithms that can detect and prevent attacks on AI systems has become a crucial research area.

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