Fraud is defined as the unlawful act of obtaining something of value such as information or physical property willfully, without the permission of the owner. The fraud detection and prevention system provides an adequate response to such unauthorized activities and prevents these kinds of fraudulent activity from being repeated. This system aids in the prevention of fraud by incorporating device fingerprinting, user level decision making, and comprehensive scoring models. The service helps clients by recapturing the lost opportunity costs and minimizing chargebacks.
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With the increasing economies, there is a rise in the incorporation of machine learning and artificial intelligence for fraud detection. These factors lead to the increase in the rate of online transactions that occur through a web and mobile applications. Due to the subsequent rise in fraudulent activities due to these factors, the market for fraud detection and prevention is increasing. The lack of awareness about possible fraudulent activities, poor integration capabilities, and costly deployment leads to restraint in the growth of the fraud detection and prevention market.
Competitive Landscape:
The major players in the market are as follows:
Experian Information Solutions, Inc.
Lexisnexis
Fair Isaac Corporation
IBM Corporation
Oracle Corporation
ACI Worldwide, Inc
SAS Institute
Fiserv, Inc.
BAE Systems
Nice Systems Ltd.
DXC Technology (CSC)
Threatmetrix, Inc.
SAP SE
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