However, there are already many AI-based systems currently in use to help in defending computers and networks. The field of AI is still evolving, and all of the possible applications of AI and ML in the cybersecurity space havenвЂ™t been developed or explored yet. By filtering out most of the noise and only bringing the data points most likely to be significant to the attention of analysts, AI and ML systems ensure that analystsвЂ™ attention is focused where itвЂ™s most needed. It acts as a magnifier for the efforts of human efforts. The main reason that AI is entering the cyberdomain is that it is a scalable way to ensure the security of the organization. We become bored and miss things, and the result is a breach.Д¬omputers, on the other hand, never get bored, and large-scale data analysis and anomaly detection are some of the things that theyвЂ™re best suited for. Analysts are known to get security alert fatigue, where too many false alarms mean that they miss real ones. To be honest, humans are awful at this sort of work. This requires a lot of number-crunching and looking through data for anomalies. Once a potential threat has been detected, further data analysis is required to identify the details of the attack, the impact of the breach and the effects on the computers. Detection of most cyberthreats requires trawling through massive amounts of data, looking for anomalies or indicators of a possible attack. A large portion of the role of a cyberdefender is boring, thankless tasks.

Ai in cyber security courses