Machine Learning in Security
At its most basic level, machine learning (ML) can be defined as the ability that allows computers to learn more without the need for extensive programming. By utilizing mathematical techniques across enormous datasets, machine learning algorithms can generate behavioral models and use them as the foundation for producing predictions that are based on the latest input data. This can be observed in how Netflix suggests new TV shows based on your prior viewing history and in a self-driving car that can pick up information about road conditions after nearly colliding with a pedestrian, for example.
So, what does machine learning have to offer in terms of information security or cybersecurity?
Practically speaking, machine learning can aid firms in better identifying threats and addressing attacks or other security incidents. Furthermore, it can enable more automation of repetitive tasks that were previously performed by overburdened and, at times, insufficiently skilled security teams.
Real Life Use Cases
There are several different applications for ML (machine learning) in cybersecurity. Mentioned below are some of them.
