Cyber threats are growing and becoming even more sophisticated in their technologies. It follows that security techniques need to grow and evolve in order to anticipate potential problems: the digital transformation cannot prescind from an increase in data security.
For all these reasons, technologies adopted until now to contrast cyber risks can result nowadays to be less effective. In this framework, the adoption of emerging technologies such as machine learning and artificial intelligence can result to be very helpful in identifying potential threats and to increase the velocity of reaction against them.
What is essential to keep in mind while speaking of cybersecurity is the idea that the IT field is evolving in the direction where servers are not even more located physically somewhere, but they are based on mobile technologies. That point out the need to monitor application in real time to prevent cyber threats. Moreover, the nature of the infrastructure is evolving and for example, private clouding is becoming more popular. On the side of users, it is evident the shift from laptop to mobiles.
Keeping in mind all these points, cyber threats and malware are evolving in directions to be able to take advantages of weaknesses of the aforementioned technologies. This observation point out the need of a “security transformation” which would parallel the “digital transformation”, in order to focus the attention on checkpoints related to applications and data rather than where they are located or how they are moving.