Abstract

A computer can completely perform like a person thanks to the advancement of information technology. A machine that responds and performs like a human brain is required for AI, an amazing feature of information technology. Touch and speech are recognized by the system as qualities that can be used to operate potential daily operations without human intervention. Artificial intelligence, on the other hand, is the study of an intelligence "agent" that effectively completes a task while taking the state of the environment into account. The majority of computing systems are created to fulfil certain functions based on the context, applying special traits drawn from components of human nature that exist inherently. Using approaches and understanding of higher-level human-inspired elements, judgement, and emotions flow working, artificial intelligence frequently collaborates with mankind to fix the problem. Artificial intelligence is intelligence based on machines as opposed to human intelligence. A single person cannot manage the complexity of activities and the volume of information needed to secure cyberspace without significant automation. But in order to adequately defend against security risks, technology and software with conventional fixed implementations are challenging to design. AI machine learning and simplification techniques can be used to treat this issue. After reviewing the available artificial intelligence software for cyber security, we may assume that useful applications currently exist. They employ neural networks to first secure the perimeter and many other cyber security domains. On the other hand, it was evident that certain cyber security issues could only be effectively solved by the application of artificial intelligence techniques. This study paper's objective is to assess the existing difficulties posed by artificial intelligence for cyber security. The research report will include ground-breaking suggestions for AI in cyber security.

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