The constant growth of cyber attacks on the financial sector requires the construction of a modern protection system based on the use of artificial intelligence or machine learning. The paper provides an analysis of specific products and solutions of the global market based on artificial intelligence technologies that can be used to protect critical information infrastructure.

Keywords: cyber attacks, critical infrastructure, artificial intelligence, information security, machine learning

The paper is devoted to the development of a security concept for the protection of critical information infrastructure of the financial sector. The critical information infrastructure of the financial sector is analyzed, and the main types of cyberattacks are considered in relation to the objects in this area. The concept of security is proposed, including access control, multilevel protection, data encryption, continuous monitoring and other measures. Models of the main threats to the security of information infrastructure objects of the financial sector are given. The question of the importance of cooperation and information exchange between financial institutions, regulators and law enforcement agencies to ensure collective security of the financial sector is raised. The article will be useful for specialists in the field of information security, financial sector and managers of organizations interested in developing and improving the security system of information infrastructure of the enterprise.

Keywords: information security, information infrastructure, financial sector, mathematical modeling, software package