Artificial intelligence is discussed in several different contexts but in the world of computer science, it is defined as a machine that when given new information, it learns and adjusts its responses and behavior, making it more accurate and efficient.
Currently, there are new safety analysis solutions available as security systems for data management systems of computer events and analysis products such as “machine learning” to create representations to detect harmful or anomalous behavior within networks.
In computer security, a security model with machine learning features receive new traffic information within the network infrastructure. Security applications with artificial intelligence rely more and more on machine learning, the cornerstone of artificial intelligence. This will create new realities for predicting computer intrusions before they occur.
The industries that take more advantage of artificial intelligence applied to computer security are dedicated to malware detection, safety analyzes of Big Data, end points protection to companies and security solutions for the Internet of Things (IoT).
The artificial intelligence will be crucial to the concept of computer security within 30 years. Currently the way technology evolves is very fast. In 10 years, we will see applications that predict behavior with high accuracy rates in almost all aspects of our life in relation to computer (prediction IoT), especially in security.
Network infrastructures that are equipped with this technology will be able to anticipate intrusions and take immediate corrective action in automated way to defend and mitigate any possible damage. All without human intervention.
Various companies such as Gigamon actively involved in this type of technological developments, being a key enabler of this type of security predictive artificial intelligence installed at the factory. They provide all the information required to perform sophisticated safety analysis including those involving models of machine learning and artificial intelligence metadata.