The complexity, frequency, and size of attacks on computer systems and infrastructure are all increasing. The goal of these attacks is to cause disruptions in vital infrastructure and get access to sensitive data, and novel attack tactics and the exploitation of new attack surfaces have been identified. Many other papers have summarized the history and current state of various types of cyber attacks. According to Microsoft's latest Digital Defense Report, hackers and nation-states are constantly changing their tactics to take advantage of emerging security holes and circumvent previously effective cyber defences. The goal of cybersecurity solutions should be to ensure that individuals can use a wide range of devices and access their data safely and securely from places outside the office. The benefits of using AI into cyber security applications are becoming more and more apparent. Artificial intelligence (AI) has various uses, one of which is the automated interpretation of signals produced during assaults, threat incident prioritisation, and adaptive responses to the pace and magnitude of hostile operations. These techniques show a lot of potential for quickly evaluating and correlating patterns across billions of data points, which may help in the detection of a broad range of cyber threats in a matter of seconds. In addition, AI is able to continuously learn and adapt to new attack patterns, using data collected in the past to help it identify similar assaults in the future. Due to this, machine learning has been increasingly integrated into modern cyber security tools. This study looks at how AI has affected cyber security in general.

Cybersecurity, Artificial Intelligence (AI), Cyber threats, Data Privacy