Technology has certainly changed the way we live our lives today. Mechanical technology have successfully managed to take over tasks and complete them alone with no human contact. Machines are learning to operate themselves and create their own intelligence over time and experiences, as human do. It is the idea that computers now have alike human brain or better. Today, Machine Learning algorithms now enable computers to communicate and interact with humans, autonomously drive cars and also detect cyber-attacks and unauthorised insiders. It is knowingly believable that Machine Learning technologies will impact industries and the jobs within them as machines now are able to complete a humans job and work load, or having the capability of performing and completing it better.

Artificial Intelligence and Machine Learning are now becoming the future as it is influencing change and the way we perform certain tasks. These new technologies are capable of bettering our lives by creating less stress and less energy to accomplish jobs. Now industries and many different fields are incorporating Machine Learning into their work performances and lives.

Machine Learning involved in cyber security solutions will greatly impact all companies for the better, as it will be able to provide adequate protection and security to their systems with no human contact. It is known that cyber threats and attacks can slow down or completely stop a company’s operation, production performances and services to ultimately exposing confidential customer identities and information. These many cyber-attacks can demolish a company’s reputation, authority and financial position.

For example: The U.S. company, Sally Beauty Holdings, was maliciously attacked with malware where customer’s data were accessed and stolen. It was reported there was unusual activity involving card payments at the stores. This was due to attackers using malware to successfully access 25,000 customer identities and credit card information from the sale system (Goldman 2015).

Attacks like these are unavoidable and require sufficient assistance to minimise the risks as much as possible. The thought of this will influence businesses, and society, to invest in Machine Learning cyber security products to elude access to private information, and legal and corporate issues within their business and personal lives. Machine Learning can gain research funds from the influences of these businesses and society in general to improve its written algorithms and adaptability to advance security.

Products like Palo Alto Magnifier Behavioral Analytics software will impact the way we all interact with technology, as it will reduce the concern of cyber-attacks. The software will easily detect malicious attacks and insiders as it learns and adapts with the cyber experiences. Magnifier is slowly being introduced into the world of technology and gradually improving itself; this states the software as an emerging technology. An emerging technology is a new type of “technology that is currently being developed, or will be developed within the next five to ten years” (Stevens Henager 2013) and is slowly entering into the market. Emerging technology is designed to better our lives and appear into society to provide improvement. Machine based-learning cyber security products, such as the Magnifier Behavioural Analytics solution use Machine Learning to identify and recover security issues. It models network behaviour and has improved threat detection overall (Oltsik 2018).

There is no doubt that Machine Learning and Artificial Intelligence will no longer be just a new idea but a social normality in the world of technology. Machine Learning will advance Cyber security and the way analysts perform to provide security and protection. Machines will begin to become more superior and reliable to perform most tasks as they are eventually faced with more responsibilities to experience more than they are exposed to now. Machine Learning is going to better our lives and they way we interact with the world and with technology. It will grow with us more than it did decades ago.