Analysis of the contribution of machine learning to information security

Abstract

Every computing device has its own security logs. By
aggregating thousands of devices that intervene in the
communications of personal computers, databases, web
servers, network devices, firewalls, etc., a large volume of
logs is generated with interesting information from the
security point of view, although impossible to review by a
human. That is where it has automated tools with a certain
intelligence capable of performing analyzes and detecting
malicious patterns that can affect the confidentiality,
integrity and availability of information.
Among these tools arise Artificial Intelligence and Machine
Learning, which are being included by manufacturers in
the latest generation security products. The objective of
this article is to explain what Machine Learning consists of,
its history, components and its contribution in support of
information security.