What question did this study set out to answer?

The study aims to investigate cybersecurity risks in India's UPI and ONDC platforms, focusing on user vulnerabilities and AI's role in threat detection.

April 12, 2026Open Access

AI-Driven Threat Detection for UPI and ONDC Platforms: An Empirical Study of Cybersecurity Risks, Trust, and Digital Payment Resilience in India

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The study aims to investigate cybersecurity risks in India's UPI and ONDC platforms, focusing on user vulnerabilities and AI's role in threat detection.
Conducted structured surveys to gather data on user behavior and risk perception.
Reviewed secondary literature to support findings on cybersecurity awareness.
Analyzed the impact of AI-driven methods on fraud prevention and user trust.
Identified user-behavior gaps as primary vulnerabilities in UPI and ONDC.
Found that AI-driven methods enhance fraud prevention and boost user confidence.
Highlighted the need for technical controls and governance to sustain trust in digital commerce.

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Implication

This empirical study examines cybersecurity risks in digital payments, indicating the need for enhanced trust and user education.

Cite This Study

Siddarth Nagamurthy Madankar (2026) studied this question.

synapsesocial.com/papers/69db375f4fe01fead37c5658 https://doi.org/10.5281/zenodo.19499747

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AI-Driven Threat Detection for UPI and ONDC Platforms: An Empirical Study of Cybersecurity Risks, Trust, and Digital Payment Resilience in India

Key Points

Discussion

Implication

Cite This Study

AI-Driven Threat Detection for UPI and ONDC Platforms: An Empirical Study of Cybersecurity Risks, Trust, and Digital Payment Resilience in India

Key Points

Discussion

Implication

Cite This Study

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