Securing Mobile Transactions: Large Language Models and the Future of FinTech Apps


Digital Payment Transactions (DPT) have become an essential aspect of our daily lives, rendering traditional methods of carrying hard currency obsolete. Mobile handheld devices are now commonly utilized for transactions, which unfortunately opens unlimited possibilities for hackers and scammers. The discussion delves into various Low Latency Verification (LLV) trends in FinTech on mobile handheld devices, exploring the applications of LLM in FinTech and the potential of LLM alongside AI/ML in FinTech. Moreover, it addresses the limitations of LLM in achieving full implementation strength.

The subsequent section will be structured as follows:
• Explore the cutting-edge advancements within the domain of Large Language Models (LLMs) in the field of Financial Technology (FinTech).
• Identify the prominent stakeholders shaping the FinTech landscape.
• Evaluate the scale of transactions managed by key players in the DPT market.
• Observe the exponential integration of AI within the FinTech sector.
• Uncover an array of LLM applications in DPT, encompassing:
1. Electronic payment platforms
2. Mobile payment solutions
3. Digital wallets
4. Contactless payment technologies
• Apply LLM innovations to enhance DPT functionalities listed above.
• Discover the latest LLM offerings tailored for DPT applications.
• Probe into the security hurdles encountered by FinTech when deploying LLM solutions.
• Implement strategies to fortify the protection of Personal Account Identifier (PAI) data within LLM frameworks.
• Equip yourself with tactics to combat identity theft in FinTech deployments of LLM.
• Ensure the integrity and confidentiality of DPT transactions through robust security measures.
• Stay abreast of the newest AI/ML technologies leveraged in the FinTech sphere.
• Acknowledge the constraints and vulnerabilities inherent in DPT systems augmented by LLM.
• Participate in an interactive Q&A session to address any queries or concerns.


Sanjaikanth E. Vadakkethil Somanathan Pillai, a Fellow of British Computer Society, and a Senior Member of IEEE, is a results-driven professional with over 19 years of extensive experience in research and technology. Currently, he serves as a Staff Site Reliability Engineer at Visa Inc. in Austin, Texas. He earned his MS in Software Engineering from The University of Texas at Austin, USA, and his BE from the University of Calicut, India, and is currently pursuing a PhD in Computer Science at the University of North Dakota, USA.

His research spans mobile networks, network security, privacy, location-based services, and misinformation detection. He has authored five books: ""Machine Learning, IoT, and Artificial Intelligence: Applications and Challenges,"" ""ChatGPT: Transforming Industries Through AI-Powered Innovation,"" ""Beyond ChatGPT: Pioneering Trends and Technologies in Conversational AI,"" ""Intelligent Connections: Challenges and Applications at the Intersection of AI, IoT, and Machine Learning,"" and ""Routing Optimization for Wireless Sensor Networks: A Procedure for Energy Efficient Routing,"" collaborating with other leading academics in the field. Sanjaikanth has demonstrated significant leadership and expertise in academia, serving as a Technical Program Committee Member for various IEEE conferences and as an Editorial Review Board Member for esteemed international journals. He has also served as a keynote speaker and session chair at numerous international conferences.

Sanjaikanth holds multiple patents, including ""Cyber Security Detecting and Alerting Device"" and ""AI Based Network Intrusion Detection Device."" He is an Associate Editor at the International Journal of Artificial Intelligence in Scientific Disciplines (IJAISD) and the Journal of Information Technology Research (JITR), and he contributes to several other prestigious international scholarly journals. Additionally, he is an Editorial Review Board Member for the International Journal of Artificial Intelligence in Engineering Fields (IJAIEF).

He has also participated as a Hackathon Judge in various industry and university-level competitions, providing expert evaluations to participants. A distinguished Senior Member of IEEE, he is also a full member of Sigma Xi and the Association for Computing Machinery (ACM).

Sanjaikanth has published over 30 works in leading journals and conferences, including IEEE publications. His research papers have won the Best Paper Award at both the IEEE 2nd International Conference on Integrated Circuits and Communication Systems (ICICACS) and the IEEE International Conference on Distributed Computing and Optimization Techniques (ICDCOT).

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