Fraud Detection Systems in Enterprise Integration Architecture
Year: 2025
Type: article
Abstract: Fraud detection has emerged as a critical domain of technological innovation, driven by the increasing complexity of digital financial ecosystems. This article examines the transformative potential of advanced technologies in combating fraudulent activities across multiple industry sectors. Organizations can develop intelligent, adaptive, and proactive fraud prevention mechanisms by integrating sophisticated machine learning, artificial intelligence, quantum computing, and neural network architectures. This article presents a holistic approach to fraud detection, highlighting the convergence of computational technologies, data analytics, and strategic implementation strategies that enable enterprises to identify, mitigate, and respond to increasingly sophisticated fraudulent threats.
Author: Gokul Babu Kuttuva Ganesan -
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408883914