A Hybrid Artificial Intelligence Model for Strengthening Data Confidentiality and Access Control in Banking Systems
Keywords:
Artificial Intelligence, Data Confidentiality,, Access Control, Banking Security, Machine Learning, CybersecurityAbstract
With increasing digitization in the banking sector, maintaining data confidentiality and managing access control have become critical concerns. This paper presents a novel hybrid Artificial Intelligence (AI) model integrating machine learning (ML) and rule-based systems to enhance data security in banking infrastructures. The model dynamically detects potential data breaches and enforces adaptive access protocols based on user behavior and risk scores. Comparative performance analysis with traditional access control systems shows marked improvements in breach detection, decision-making latency, and false positive rates.
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Copyright (c) 2025 Anand Kishore (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
