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Cyber Security
Independent · Digital
Thehackingpost
CybersecurityAI-assisted

Mastercard Expands Gesture Analytics to Payment Apps

In a significant technological advancement, Mastercard has announced the expansion of its gesture analytics capabilities to payment applications worldwide. This development is aimed at enhancing the security and user experience of digital transactions, as the…

In a significant technological advancement, Mastercard has announced the expansion of its gesture analytics capabilities to payment applications worldwide. This development is aimed at enhancing the security and user experience of digital transactions, as the global shift towards contactless payments continues to accelerate.

Gesture analytics, a subset of behavioral biometrics, involves the monitoring and analysis of user movements and interactions with devices. By understanding how users typically interact with their devices, Mastercard aims to create a more secure and frictionless payment process. This technology is particularly relevant in the context of rising digital payment fraud, which has been a growing concern for financial institutions and consumers alike.

Mastercard's gesture analytics technology works by capturing data related to user interactions, such as typing patterns, swiping speeds, and device handling. This data is then analyzed in real-time to establish user profiles, enabling the detection of anomalies that may indicate fraudulent activity. When integrated into payment apps, this capability offers an additional layer of security that is both non-intrusive and effective.

The expansion of gesture analytics into payment apps is part of Mastercard's broader strategy to leverage artificial intelligence and machine learning technologies to improve payment security. This initiative aligns with global efforts to combat cybercrime, which, according to a report by Cybersecurity Ventures, is expected to cost the world $10.5 trillion annually by 2025.

In a significant technological advancement, Mastercard has announced the expansion of its gesture analytics capabilities to payment applications worldwide.
Chloe Simmons · Thehackingpost

Mastercard's decision to implement gesture analytics comes at a time when the demand for digital payment solutions is surging. The COVID-19 pandemic has accelerated the adoption of contactless payments, with consumers and businesses increasingly favoring digital transactions over cash to minimize physical contact. According to a study by Juniper Research, the value of global contactless transactions is projected to exceed $6 trillion by 2024.

By integrating gesture analytics into payment applications, Mastercard is not only enhancing security but also improving user experience. The technology allows for seamless authentication processes, reducing the need for traditional methods such as passwords and PINs, which can be cumbersome and vulnerable to breaches.

Mastercard's initiative has received positive feedback from industry experts, who believe that gesture analytics could set a new standard for security in the payment industry. However, the company is aware of the challenges associated with data privacy and has emphasized its commitment to ensuring that user data is handled with the utmost care and in compliance with global privacy regulations.

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As Mastercard rolls out this technology globally, it will continue to monitor its effectiveness and gather feedback from users and partners. The company aims to refine its systems continually, ensuring that they meet the evolving needs of the digital economy.

In conclusion, the expansion of gesture analytics to payment applications marks a significant milestone in Mastercard's journey to enhance digital transaction security. As the world becomes increasingly digital, innovations like these will play a crucial role in safeguarding financial ecosystems and maintaining consumer trust.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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