Fraud Detection and Credit Decisions: A Study

Author(s)	Balaji Ethirajulu
Country	United States
Abstract	The financial services industry places paramount value on fraud detection and credit decision-making processes. The maintenance of financial institutions' integrity and stability relies heavily on these two critical elements. The evolving digital environment requires fraud prevention strategies to adapt because fraudsters continuously develop new methods to bypass security systems. Financial institutions need to remain alert while continuously improving their detection systems. The process of making credit decisions needs to be precise because it determines which reliable borrowers receive credit while reducing default risks. Maintaining this complex equilibrium requires institutions to achieve mastery of new technologies and regulatory systems while continuously pursuing innovative solutions and adjustments. The interaction between fraud detection processes and credit decision-making highlights the need for adaptable risk management strategies that address the constantly evolving financial landscape.
Keywords	Artificial intelligence (AI), machine learning (ML), Real-time data Analysis, Blockchain, Fraud Prevention
Field	Engineering
Published In	Volume 12, Issue 1, January-March 2021
Published On	2021-03-11
Cite This	Fraud Detection and Credit Decisions: A Study - Balaji Ethirajulu - IJSAT Volume 12, Issue 1, January-March 2021. DOI 10.5281/zenodo.14866263
DOI	https://doi.org/10.5281/zenodo.14866263
Short DOI	https://doi.org/g84xnb

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