The world is getting more and more digitized with each passing day, especially with the augmentation of hybrid working spaces. Millions of lines of data are being processed and stored online with an increasing need to protect and secure that data. In a digital world such as this, the threat to a company's cybersecurity is massive, especially given the large volume of data. The question that arises is, can humans handle the task of securing the data effectively? That's where Artificial intelligence (AI) comes into the picture – to bridge the gaps when it comes to a robust cybersecurity mechanism.

Congressional hearings on artificial intelligence and machine learning in cyberspace quietly took place in the U.S. Senate Armed Forces Committee's Subcommittee on Cyber in early May 2022. The committee discussed the topic with representatives from Google, Microsoft and the Center for Security and Emerging Technology at Georgetown University. While work has begun in earnest within industry and government, it is clear that much still needs to be done. The hearing chair, Senator Joe Manchin (D-WV), articulated the importance of AI and machine learning to the armed forces of the United States. Additionally, the committee highlighted the "shortfall of technically trained cybersecurity personnel across the country in government and industry alike."

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. As far as computer and information technology occupations go, security awareness training is a key starting point for anyone interested in the bright future that this sector offers. The need for cybersecurity personnel, technicians, officers, developers, and trainers have never been greater. As the need for these professions grows, it also becomes more important for them to have a background in big data and other forms of technology.

Artificial intelligence is described as having machines do "smart" or "intelligent" matters on their very own barring human guidance. AI security entails leveraging AI to become conscious of and provides up cyber threats with much less human intervention than is usually predicted or wished with normal protection approaches. AI safety equipment are regularly used to pick out "good" versus "bad" with the aid of evaluating the behaviours of entities throughout surroundings to these in a comparable environment. This system allows the gadget to mechanically examine about and flag changes. Often known as unsupervised gaining knowledge of or "pattern of life" learning, this technique effects in giant numbers of false positives and negatives.