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AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.
Cyber security companies are adopting neural networks, machine learning, and natural language processing to improve their systems. [51] Applications of AI in cyber security include: Network protection: Machine learning improves intrusion detection systems by broadening the search beyond previously identified threats.
Regulation of artificial intelligence is the development of ... organizations deploying AI have a central role to play in ... [142] In terms of cyber security, ...
Concepts like layered security architecture and the use of artificial intelligence for threat detection became critical. The integration of frameworks such as the NIST Cybersecurity Framework emphasized the need for a comprehensive approach that includes technical defense, prevention, response, and incident recovery.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
According to the Artificial Intelligence (AI) in Cyber Security Market report by Zion Market Research, the role of machine learning and artificial intelligence will create a $30.9 billion cyber security market by 2025. [6] [7]