SECURITY CHALLENGES OF APPLYING ICT AND AI IN DIVERSIFICATION

Abstract

Purpose:
The integration of Information and Communication Technology (ICT) and Artificial Intelligence (AI) in diversification strategies has become crucial for economic and industrial development. However, this integration introduces significant security challenges that threaten sustainable growth. This study explores the security risks associated with ICT and AI in diversification, identifying vulnerabilities, threats, and potential mitigation strategies.

Design/Methods/Approach:
A mixed-methods approach was employed, combining a comprehensive literature review, case studies from healthcare, finance, and manufacturing sectors, and expert interviews with cybersecurity professionals, AI ethicists, and ICT infrastructure specialists. The study systematically analyzes security challenges and proposes actionable solutions.

Findings:
The research highlights key security challenges, including data breaches, ransomware attacks, adversarial AI exploitation, ethical concerns (such as algorithmic bias), and vulnerabilities in legacy systems. Case studies demonstrate real-world impacts, while expert insights emphasize the need for proactive cybersecurity measures, ethical AI governance, and infrastructure modernization.

Originality/Value:
This study contributes to the existing literature by providing a holistic analysis of security challenges in ICT and AI-driven diversification. It offers practical mitigation strategies, such as enhanced encryption, AI adversarial testing, network segmentation, and security culture development. The findings are valuable for policymakers, industry leaders, and cybersecurity professionals seeking to balance innovation with risk management in digital transformation.