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
- Engineering and Technologies like- Civil Engineering, Construction Engineering, Structural Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Telecommunication Engineering, Communication Engineering, Chemical Engineering
Editors

Dr Hazim Abdul-Rahman
Associate Editor
Sarcouncil Journal of Applied Sciences

Entessar Al Jbawi
Associate Editor
Sarcouncil Journal of Multidisciplinary

Rishabh Rajesh Shanbhag
Associate Editor
Sarcouncil Journal of Engineering and Computer Sciences

Dr Md. Rezowan ur Rahman
Associate Editor
Sarcouncil Journal of Biomedical Sciences

Dr Ifeoma Christy
Associate Editor
Sarcouncil Journal of Entrepreneurship And Business Management
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.
Author
- Lokendra Singh Kushwah
- OpenXcell Inc USA