In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is a subfield of computer science. Artificial intelligence is becoming a popular field in computer science as it has enhanced human life in many areas. Artificial intelligence in the last two decades has greatly improved the performance of the manufacturing and service sectors, as well as the field of education. Study in the field of artificial intelligence has given rise to the rapidly growing technology known as expert systems. Application areas of artificial intelligence are having a huge impact on various fields of life, as expert systems are widely used these days to solve complex problems in areas such as education, engineering, business, medicine, weather forecasting, etc. The areas employing artificial intelligence technology have seen an increase in quality and efficiency. This paper gives an overview of this technology and the scope of artificial intelligence in different areas, with special reference to the use of this technology in the field of education, along with its meaning, searching techniques, inventions, and future. Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate repetitive tasks, accelerate threat detection and response, and improve the accuracy of their actions to strengthen the security posture against various security issues and cyberattacks. This article presents a systematic literature review and a detailed analysis of AI use cases for cybersecurity provisioning. The review resulted in 2395 studies, of which 236 were identified as primary. This article classifies the identified AI use cases based on the NIST cybersecurity framework using a thematic analysis approach. This classification framework will provide readers with a comprehensive overview of the potential of AI to improve cybersecurity in different contexts. The review also identifies future research opportunities in emerging cybersecurity application areas, advanced AI methods, data representation, and the development of new infrastructures for the successful adoption of AI-based cybersecurity in today’s era of digital transformation and polycrisis. It is fundamental to comprehend digital protection and expertise to apply it in the cutting edge world, which is fueled by organizations and innovation. Without security, frameworks, essential records, information, and other pivotal virtual articles are powerless. In the same way, attackers do not fall behind as new technologies in cyber security emerge. They are employing more sophisticated hacking methods and focusing on the vulnerabilities of numerous companies. Since military, political, monetary, clinical, and corporate elements accumulate, use, and store immense measures of information on laptops and different gadgets, network safety is urgent. Delicate data, like monetary information, protected innovation, individual data, or different kinds of information for which unapproved access or colleague could raise ominous issues, can make up a sizeable portion of the data. Cybercrime is a type of criminal activity that involves the use of computers or other electronic devices and involves the use of a computer system as a tool, a target, or a place to store evidence of a criminal act. India has strict anti-cybercrime laws in place, but the primary problem facing the nation is low public awareness. In order to prevent giving hackers the upper hand, those combating cybercrime. This research paper provides an overview of Indian cyber regulations, a list of different kinds of cyberattacks and cybersecurity, and an analysis of the state of cyber security in India today.
Detection, Protection, Response, Recovery, Machine Learning, Cyber Attacks, Security Framework, AI in Cyber Securitym Cybersecurity, Artificial Intelligence, Deep Learning, Adversarial Attacks, Meta-Learning, Multi-Agent Systerris, Threat intelligence, Network Security, Cyber Threats.
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