The Future of Cybersecurity: Major Role of Artificial Intelligence, Machine Learning, and Deep Learning in Cyberspace

Artificial intelligence (AI), and in particular machine learning(ML), deep learning (DL) has seen huge pace in recent years and is now set to really start influencing all aspects of community and occupations in which people are engaged. This growth has been charged the advancement in computing power, combined with headway in algorithms and cybersecurity is no exception. AI is “an area of computer science that deals with giving machines the ability to look like they have natural brilliance.” Systems which are based on AI, sometimes called as cognitive systems, are helping us automate many jobs and gear up difficulties which are more complex than most humans are capable of solving. New generations malware and cyber-attacks can be difficult to detect with traditional cybersecurity procedures. They develop over time, so more vigorous approaches are necessary. Solutions for these problems in security rely on ML use data from earlier attacks to respond to newer. Another significant advantage of AI systems in cybersecurity is that they will free up a huge amount of time for IT employees. AI is most commonly used to detect threats and attacks. The systems are developed in a such a way that it must be able to act quickly to the situation on its own. And AI systems do not make errors in completing their tasks. So each threat is responded in the most effective and proper way. In future days, there will be a rapid increase of an international clash in cyberspace. This may include attacks on infrastructure and utilities, as well as damaging normal operations of government and financial bodies, traditional society institutions such as banks, press, law enforcement, and judicial. So taking the cybersecurity as an issue for this paper and let us see the challenges and what is the role of AI, ML, and DL in avoiding cybercrime in future.