Using artificial Intelligence in cyber security

 Artificial intelligence techniques can be used to learn how to remove noise or unwanted data and to enable security experts to understand the cyber environment in order to detect abnormal activity.

Ai can also benefit cybersecurity with automated techniques to generate whenever cyber threats are detected. Artificial Intelligence is able to analyze massive amounts of data and allow the development of existing systems and software in an appropriate way to reduce cyber attacks.

Similarly, the implementation of AI for cyber security solutions will help to protect organizations from existing cyber threats and identify new types of malware.

In addition, AI – based cyber security systems can provide effective security standards and help develop better prevention and recovery strategies.

Alternatively, the use of AI for cyber security helps to create a dynamic, real – time, global authentication framework that changes location or network access privileges. In fact, more than 90 percent of US and Japan’s cybersecurity professionals expect attackers to use AI for the companies they are working for, according to a study by Webroot.

Enterprise AI initiatives have a wide range of potential vulnerabilities, including malicious corruption or manipulation of training data, implementation and component configuration.

Darktrace’s cybersecurity company claims that its automatic machine learning technology has identified 63, 500 previously unknown threats on more than 5, 000 networks, including zero – day exploits, internal threats and subtle, hidden attacks.

Defender network security protocol provides insight into the risks of a business cloud or hybrid environment.

Lastline says that the tool can immediately identify unusual traffic in the network – including Bitcoin mining, remote file execution, and even brute force logins – to ensure the security of the entire company.