The Role of Neural Networks in Secure Java Development

In today's world, information technology plays a crucial role in the life of society. Every year, the number of cyberattacks on various systems and applications is only growing, making security one of the most pressing issues in software development. Java is one of the most popular programming languages, which is widely used for creating various applications and services. Therefore, ensuring the security of Java development becomes especially important, which makes this work particularly relevant. One promising area in this field is the use of neural networks. Neural networks are mathematical models that can learn from data and perform complex tasks such as image recognition, prediction, and classification. In the context of secure Java development, neural networks can be used to detect vulnerabilities in code, analyze user behavior, and identify suspicious activity. Based on this, the purpose of this article is to analyze the role of neural networks in ensuring the security of Java development, as well as to evaluate their efficiency and prospects for development.