The variety and complexity of current network traffic means that detecting attacks on the network requires advanced machine learning technologies, which give us the ability to classify and process data and its origin.

In addition, the use of multiple applications and devices requires greater vigilance and control to detect anomalous behaviour on the part of users. Artificial intelligence and the use of big data, applied to cybersecurity, allow us to work on patterns of traffic and user behaviour, for the early detection of anomalies such as fraud, intruders or information leaks, effectively.