Developing Bank Cyber Risk Index Using Deep Learning-Based Textual Analysis

Overview

This project focuses on developing a cybersecurity risk indicator framework for the banking sector in Dubai, addressing the growing threats posed by digital transformation technologies such as AI, big data, and blockchain. While these innovations enhance efficiency and financial performance, they also increase exposure to cyber risks that can compromise stability and trust. In alignment with the Dubai National Cyber Security Strategy 2023, this research aims to create a composite cybersecurity risk index to quantify banks’ exposure levels based on indicators such as cybersecurity posture, regulatory compliance, and third-party risks.
Using natural language processing (NLP) and deep learning models, the project will analyze public financial disclosures, regulatory filings, and industry reports to predict and model cybersecurity risk. The developed framework will help both banks and regulators assess vulnerabilities, benchmark performance, and identify systemic risks across the financial ecosystem. Ultimately, this study will contribute to strengthening banking resilience and ensuring long-term financial stability in the UAE’s digital economy.