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Research by Harish Kumar Sriram Proposes AI-Driven Automation for Secure Transactions

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Manage episode 480242985 series 3570694
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/research-by-harish-kumar-sriram-proposes-ai-driven-automation-for-secure-transactions.
Harish Kumar Sriram’s AI framework uses neural networks and generative AI to secure real-time financial transactions and detect fraud before it happens.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-fraud-detection, #secure-financial-transactions, #harish-kumar-sriram, #neural-networks-in-finance, #generative-ai-payments, #smart-pseudo-labeling, #real-time-payment-security, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.
Harish Kumar Sriram proposes a generative AI-powered framework for secure digital payments, combining neural networks, smart pseudo-labeling, and anomaly detection to prevent fraud in real time. His research advances adaptive, self-learning systems that ensure compliance, reduce manual audits, and protect users in modern transaction ecosystems.

  continue reading

2002 episodes

Artwork
iconShare
 
Manage episode 480242985 series 3570694
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/research-by-harish-kumar-sriram-proposes-ai-driven-automation-for-secure-transactions.
Harish Kumar Sriram’s AI framework uses neural networks and generative AI to secure real-time financial transactions and detect fraud before it happens.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-fraud-detection, #secure-financial-transactions, #harish-kumar-sriram, #neural-networks-in-finance, #generative-ai-payments, #smart-pseudo-labeling, #real-time-payment-security, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.
Harish Kumar Sriram proposes a generative AI-powered framework for secure digital payments, combining neural networks, smart pseudo-labeling, and anomaly detection to prevent fraud in real time. His research advances adaptive, self-learning systems that ensure compliance, reduce manual audits, and protect users in modern transaction ecosystems.

  continue reading

2002 episodes

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