Cyber attacks and security breaches can lead to far-reaching consequences. An unexpected data leak is capable of disrupting key processes in an organization and, moreover, leading to huge financial losses. Given the ever-increasing scale of cyber attacks, it is becoming necessary to harness the potential of artificial intelligence.
AI in the area of cyber security has many applications, and its use has both economic and social benefits. With the increase in the scale of attacks, the demand for the use of artificial intelligence has become ever greater. Today, organizations are investing more and more resources in security, and AI-based tools are effectively reducing the risk of breaches, improving the state of security.
The role of artificial intelligence in cyber security
Artificial intelligence in cyber security is responsible for maintaining an adequate level of security. AI-based tools identify suspicious activity, so they automatically detect an impending threat and respond to it faster than they would with a standard approach. By taking into account data extracted from IT systems, as well as monitoring user activities, artificial intelligence greatly reduces the effectiveness of attacks.
Examples of using artificial intelligence in cyber security
AI-based tools used in cyber security have many applications. Below are the most popular solutions that effectively secure an organization and protect data.
Classification of URLs and system processes
Classification is a proven tool that can predict an impending threat. The tool automatically and in real time monitors the content viewed by system users. Both the web pages visited and the processes run are analyzed. Thanks to classification, it is possible to detect at an early stage whether an employee’s actions are safe and whether they expose the company to a potential attack.
Recommendation systems
In the area of cyber security, recommendation systems play an important role. Their main purpose is to conduct a thorough analysis of a user’s work based on his or her past behavior in the organization. Among other things, factors such as active and passive working time, documents viewed, or programs run on the computer are analyzed. This makes it possible to determine a user’s performance factor, identify activities that may cause a security gap, or determine an employee’s behavioral tendency. The recommendation system can suggest what actions should be taken to further secure the organization.
DDoS attack detection systems
Such systems are very good at detecting suspicious network traffic. Thanks to the knowledge of time series patterns, along with the previous history of data flow in the network, the possibility of detecting increased traffic, which can mean a DDoS attack, appears. Once the system detects the increased activity, it automatically takes appropriate action, thus effectively protecting the organization from cyber attacks.
Source:
https://www.balbix.com/insights/artificial-intelligence-in-cybersecurity