Using Artificial Intelligence to detect evasive techniques in Contemporary technologies

Abstract

This study focuses on the design of an artificial intelligence (AI) tool dedicated to monitoring and distinguishing secure and insecure communication flows within a company. The primary objective is to ensure the secure transfer of data by constructing a cyber-secure model using AI. The methodology involves training the model on a comprehensive database encompassing various communication protocols within the company, including both benign and malicious communications. The background emphasizes the significance of safeguarding company communications and data transfer, setting the stage for the study's purpose. In terms of methods, the project employs AI techniques to build a cyber-secure model capable of discerning the security status of communication channels. The model is trained on a diverse dataset covering all communication protocols utilized within the company, ensuring its adaptability to various scenarios. The focus on AI-driven security sets the project apart in addressing contemporary challenges in data protection. Results from the study highlight the successful development and training of the AI model, showcasing its ability to distinguish between secure and insecure communication channels. The model's effectiveness is demonstrated through its comprehensive understanding of different communication protocols, enabling it to accurately identify and classify secure and insecure data transfers. Conclusions drawn from the study emphasize the pivotal role of AI in enhancing cybersecurity within corporate networks. The successful implementation of the AI tool provides a proactive approach to identifying and securing communication flows, mitigating potential risks associated with insecure data transfer. The study underscores the potential of AI-driven solutions in fortifying cyber defenses and ensuring the integrity of communication within organizational frameworks. In summary, AI tools have emerged as a robust and effective means to bolster the security of company communications, contributing to the ongoing efforts to safeguard sensitive data in corporate environments.