AI in Financial Services: Fraud Detection and Risk Management

Today Artificial Intelligence serves as a substantial force that advances financial institutions by strengthening their ability to detect fraud and handle organizational risks. The growth of sophisticated financial fraud requires modern-day solutions which AI has proven to be better than traditional detection methods. This research investigates the impact of AI technology in banking institutions through its use cases while exploring methodologies together with advantages along with barriers it creates. This research shows that AI-controlled financial systems use data protection methods to minimize losses and produce better decisions with additional needed steps to protect data security and ethical standards.

Authors

Institutions

Publication Details

Journal
Metallurgical and Materials Engineering
Published
2025-03-13
DOI
https://doi.org/10.63278/1335
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI in Financial Services: Fraud Detection and Risk Management

Reeta Devi, Faizal Nujumudeen, Vadla Anuja, U. Madhuri et al.
Metallurgical and Materials Engineering
Imbalanced Data Classification Techniques
article

AI in Financial Services: Fraud Detection and Risk Management

Reeta Devi, Faizal Nujumudeen, Vadla Anuja, U. Madhuri, K. Radha
article en

Abstract

Today Artificial Intelligence serves as a substantial force that advances financial institutions by strengthening their ability to detect fraud and handle organizational risks. The growth of sophisticated financial fraud requires modern-day solutions which AI has proven to be better than traditional detection methods. This research investigates the impact of AI technology in banking institutions through its use cases while exploring methodologies together with advantages along with barriers it creates. This research shows that AI-controlled financial systems use data protection methods to minimize losses and produce better decisions with additional needed steps to protect data security and ethical standards.

Metallurgical and Materials EngineeringVol. 31(3)
Martin College (AU), Education & Research Foundation (US), Department of Commerce (AU), G Pulla Reddy Dental College & Hospital (IN), S.P.E.C.I.E.S. (US)
Openalex Percentile: Top 97%
Imbalanced Data Classification Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.