EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR CYBER THREAT DETECTION IN PAKISTAN’S FINANCIAL SECTOR

Abstract

The rapid digitalization of Pakistan’s financial sector has significantly increased exposure to sophisticated cyber threats, including phishing attacks, ransomware, malware, insider threats, financial fraud, and identity theft. Traditional cybersecurity systems based on rule-based and signature-driven approaches are increasingly ineffective against evolving and intelligent cyberattacks. Consequently, Artificial Intelligence (AI) and machine learning technologies have emerged as advanced solutions for automated cyber threat detection and predictive cybersecurity analytics. However, the “black-box” nature of many AI models creates major challenges related to transparency, interpretability, accountability, and institutional trust, particularly in highly sensitive financial environments. This study critically examined the role of Explainable Artificial Intelligence (XAI) in enhancing cyber threat detection within Pakistan’s financial sector. Using a qualitative analytical research design and systematic literature review approach, the study analyzed recent scholarly research, cybersecurity reports, and AI governance frameworks related to explainable cybersecurity systems. The findings revealed that machine learning and deep learning models significantly improve intrusion detection, fraud prevention, and anomaly detection capabilities, while XAI techniques such as SHAP, LIME, decision trees, and interpretable neural networks enhance transparency, reduce false positives, and strengthen analyst confidence in AI-generated decisions. The study further identified major implementation barriers in Pakistan, including weak cybersecurity infrastructure, shortage of skilled AI professionals, inadequate regulatory frameworks, and limited institutional readiness for explainable AI adoption. The study concluded that integrating explainable AI into financial cybersecurity systems can improve cyber resilience, support regulatory compliance, enhance institutional trust, and strengthen secure digital financial transformation in Pakistan. Strategic investment in AI governance, cybersecurity infrastructure, and explainable AI research is essential for sustainable implementation.