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This article explains how and why Artificial Intelligence (AI) is the critical capability asset to protect the digital paymentsphere from fraud including the more complex forms of fraud. Fraud risk is rising in the new era of digital payments, and you need to try out new ways. Some AI approaches like AI algorithms can identify anomalous patterns and alerting suspicious activity even by looking at transactional behavior or user behaviour. This paper discusses the present issues and trends of AI in security in financial risk minimization through digital payments. Digital payments are big business right now, and what is the new money technology we can do business all over the globe to a level which is astronomical. The company has more vulnerabilities and it is now easier to commit fraud, both online and off. It is happening as electronic payments are growing in popularity because they are more convenient, and may help people with poor credit obtain utilities. The Great American Smokeout Fighting Fraud on the Internet The Scammers Who Steal Hearts and Money There were about 250 men behind a blue-plate glass window in an Appalachian shop who had paid for a shot at pulling up gold, only to learn they would have some weeks of trouble and this is where the AI has taken safe online payments to another level. Digital payments should be more secure: With AI to catch fraud, we halt suspicious activity in its tracks with disruptive methods that prevent the issue before it arises. It even shows how A.I. could be used to stop fraud in the future and what companies and regulators can do to ensure that A.I. comes into the world properly, and shields online payments as it does so. For example, AI-powered platforms and solutions have been driving development of a more secure and predictable online transactions and promoting trust in a global digital economy.
Keywords:
Artificial Intelligence, Digital Payment, Deep Learning, Security of Transactions.
Cite Article:
"SECURING THE DIGITAL PAYMENT ECOSYSTEM ARTIFICIAL INTELLIGENCE-POWERED FRAUD DETECTION TECHNIQUES", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 2, page no.a157-a166, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602019.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator