Sarcouncil Journal of Engineering and Computer Sciences

Sarcouncil Journal of Engineering and Computer Sciences

An Open access peer reviewed international Journal
Publication Frequency- Monthly
Publisher Name-SARC Publisher

ISSN Online- 2945-3585
Country of origin-PHILIPPINES
Impact Factor- 3.7
Language- English

Keywords

Editors

Designing Explainable AI (XAI) for Regulatory-Compliant Cybersecurity in Financial Systems

Keywords: Explainable Artificial Intelligence, Financial Cybersecurity, Regulatory Compliance, AI Transparency, Human-AI Collaboration.

Abstract: Banking organizations worldwide accelerate sophisticated technology adoption across cybersecurity frameworks, confronting mounting transparency, accountability, and stakeholder confidence challenges. Advanced algorithmic architectures demonstrate exceptional capabilities in detecting fraudulent transactions and identifying irregular behavioral patterns, yet frequently lack interpretability features mandated by regulatory authorities, including General Data Protection Regulation, Revised Payment Services Directive, and Payment Card Industry Data Security Standard requirements. This architectural assessment explores Explainable Artificial Intelligence implementations across financial security domains, emphasizing methodologies that enhance operational clarity while preserving detection accuracy. Critical techniques, including Shapley Additive exPlanations calculations, Local Interpretable Model-agnostic Explanations frameworks, and counterfactual reasoning mechanisms, establish transparency within fraud identification and access control architectures. Financial institutions deploying interpretable systems experience diminished algorithmic bias, reinforced compliance adherence, and elevated customer trust metrics. Outcomes highlight essential collaborative human-machine frameworks in cybersecurity decision processes, enabling regulatory bodies, banking organizations, and consumers to comprehend intelligent security interventions effectively. Institutions embracing transparent architectures achieve superior regulatory coordination while sustaining comprehensive threat detection performance. Interpretable algorithmic frameworks facilitate balancing security effectiveness against compliance obligations, generating sustainable cybersecurity methodologies. Implementation data confirms transparent models successfully navigate compliance requirements without compromising operational efficiency, establishing innovative benchmarks for responsible technology integration across financial services environments where stakeholder confidence and regulatory transparency constitute fundamental operational priorities.

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