Управління інформаційними ризиками з використання штучного інтелекту

Abstract

The management of information risks in the context of artificial intelligence (AI) has become increasingly critical in today’s digital landscape. This paper explores the integration of AI technologies in information risk management, focusing on their potential to enhance risk identification, assessment, and mitigation processes. By leveraging machine learning algorithms and predictive analytics, organizations can proactively identify vulnerabilities and minimize the impact of potential threats. Additionally, the study examines the ethical implications and challenges associated with AI in this realm, including data privacy concerns and algorithmic biases. Through a comprehensive analysis of case studies and current practices, this research aims to provide insights into effective strategies for utilizing AI in managing information risks, thereby fostering a more resilient information security environment. The findings underscore the importance of developing robust frameworks that not only embrace technological advancements but also prioritize ethical considerations in information risk management.