Abstract
This paper explores the application of digital twins for risk assessment in information security. It examines the fundamental principles of digital twin technology, its architecture, and threat modeling methods. Special attention is given to the capabilities of predicting cyberattacks, identifying vulnerabilities, and testing security mechanisms in a controlled virtual environment. Additionally, the advantages of digital twins over traditional risk assessment methods are analyzed, including improved accuracy and adaptability to dynamically evolving threats. Practical examples of technology implementation across various industries are provided.