Application of Machine Training to Search Vulnerabilities in the Software Code

Abstract

The article considers the possibility of using artificial intelligence in the field of information security. For this, the following domain contradiction was highlighted: sharpening of detection algorithms for specific vulnerabilities in VS code, constant modification of the vulnerability code. To resolve the contradiction, an object is considered – software with vulnerabilities in the process of its development, for the subject – ways of intellectual analysis of its characteristics. A hypothetical solution is proposed through the use of Machine Learning Technology to identify vulnerabilities in software, using a huge amount of accumulated knowledge. Also, possible signs of software representations used for the operation of the Technology are given.