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COINTURK FINANCE > Business > Swift Uses AI to Combat Cross-Border Payment Fraud
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Swift Uses AI to Combat Cross-Border Payment Fraud

Overview

  • Swift launches AI pilots to combat payment fraud.

  • Initiatives aim to enhance transaction security and efficiency.

  • Collaboration with major banks is key to the pilots' success.

COINTURK FINANCE
COINTURK FINANCE 12 months ago
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Swift has launched two artificial intelligence (AI) pilots in partnership with major banks to fight cross-border payment fraud. This initiative is a significant step towards leveraging advanced technology to secure global financial transactions. These developments align with the G20’s objectives of enhancing the speed and security of international payments, positioning Swift as a pivotal player in the financial ecosystem’s battle against fraud.

Contents
First AI Pilot: Enhanced Payment ControlsSecond AI Pilot: Collaborative Data Analysis

In previous years, Swift has consistently sought to innovate within the financial sector, with various efforts aimed at improving transaction security and efficiency. Earlier collaborations with global banks have tackled issues such as payment delays and compliance challenges. However, these new AI-driven pilots represent a more sophisticated approach to identifying and mitigating fraudulent activities. The move towards AI reflects a broader industry trend of employing machine learning to enhance financial security.

Other past initiatives focused more on compliance and regulatory requirements, primarily targeting the accuracy and reliability of transactional data. These earlier programs laid the groundwork for the current AI pilots, which now aim to proactively detect fraud rather than merely responding to regulatory demands. The integration of AI marks a transformative shift from traditional methods to more predictive, data-driven solutions.

First AI Pilot: Enhanced Payment Controls

Swift’s first AI pilot will upgrade its Payment Controls service, enabling financial institutions to detect potential fraud through the analysis of transaction anomalies. By leveraging historical data patterns on the Swift network, the AI model aims to provide a detailed and accurate picture of fraudulent activities. This enhancement is expected to significantly reduce fraud-related losses in the financial industry.

Second AI Pilot: Collaborative Data Analysis

The second pilot involves cooperation with ten of the world’s leading banks, including BNY Mellon, Deutsche Bank, and HSBC. This experiment will use AI to analyze anonymized data from multiple sources, enhancing the global financial ecosystem’s security. The collaborative nature of this pilot underscores the need for strong partnerships within the industry to effectively combat fraud.

  • Swift’s role as a trusted industry leader is crucial for facilitating these AI pilots.
  • The pilots aim to achieve the G20’s goal of faster, more secure cross-border payments.
  • AI technology is pivotal in reducing the financial industry’s substantial fraud costs.

These AI pilots by Swift promise to transform the landscape of cross-border payments by addressing fraud more effectively. As financial institutions increasingly adopt advanced technologies, the potential for significant improvements in transaction security and efficiency grows. Swift’s initiative not only aligns with global financial stability goals but also exemplifies the proactive steps required to safeguard the integrity of international payments. The financial industry must continue to embrace innovation and collaboration to combat fraud and protect its stakeholders effectively. With the successful implementation of these pilots, Swift is set to lead by example, demonstrating the critical role of AI in the future of financial security.

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Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should conduct their own research.

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