• Dr. Devendra Singh

The method in which we identify, prevent, and respond to emerging cyber threats has been revolutionised by the use of artificial intelligence (AI), which has become an essential component of current cyber security systems. In response to the increasing complexity and number of cyber attacks, traditional security approaches frequently fail to keep up. This has led to the development of AI-driven solutions, which provide better capabilities in threat identification and mitigation. Machine learning (ML) and deep learning algorithms are utilised by AI-powered systems in order to analyse large volumes of data, recognise patterns, and find anomalies that may suggest possible security breaches. These systems are able to monitor and analyse network traffic, user behaviours, and other data sources in a very short amount of time. This allows them to identify complex threats such as zero-day assaults, advanced persistent threats (APTs), and ransomware, which would otherwise be undiscovered by traditional methods. Artificial intelligence's capacity to continually learn and adapt to new attack vectors is one of the most significant benefits it offers in the field of cyber security. The detection accuracy of artificial intelligence systems may be improved over time by the use of past data and real-time monitoring. This allows these systems to become increasingly successful in recognising new threats. Not only does this proactive strategy increase the rate at which risks are identified, but it also lessens the need on human intervention, which may be both time-consuming and prone to errors. In addition, artificial intelligence has the capability to automate monotonous security chores, such as vulnerability detection and patch administration, which frees up cyber security specialists to concentrate on more complicated problems. Artificial intelligence has the potential to assist with threat intelligence by correlating data from a variety of sources and generating insights that may be put into action to inform decision-making. Organisations are able to construct cyber security frameworks that are more robust and resilient, and that are able to respond to attacks in real time, by integrating artificial intelligence with their existing security infrastructure. As cyber threats continue to change, it is anticipated that artificial intelligence will play an increasingly important role in cybersecurity. This is because continual improvements in AI algorithms and technology will enable defence mechanisms that are more complex and effective. This integration of artificial intelligence in cybersecurity marks a paradigm leap, delivering not only increased security but also more efficiency and agility in the defence against cyber attacks in a world that is becoming increasingly digital.

Artificial Intelligence, machine learning, cyber security, technologies, cyber-attacks.

"APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY THREAT DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.f158-f166, January-2025, Available :http://www.jetir.org/papers/JETIR2501516.pdf

"APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY THREAT DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppf158-f166, January-2025, Available at : http://www.jetir.org/papers/JETIR2501516.pdf