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Driving Real-Time Fraud Detection with Generative AI: Insights from Pallav Kumar Kaulwar’s Research

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Manage episode 480242984 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/driving-real-time-fraud-detection-with-generative-ai-insights-from-pallav-kumar-kaulwars-research.
Pallav Kumar Kaulwar uses generative AI to create adaptive, explainable fraud detection systems for real-time financial risk and AML compliance.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #generative-ai-fraud-detection, #pallav-kumar-kaulwar, #financial-fraud-prevention, #aml-compliance-ai, #explainable-ai-(xai), #gans-in-finance, #human-in-the-loop-ai, #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.
Pallav Kumar Kaulwar’s research presents a generative AI-powered framework to predict, detect, and explain financial fraud in real time. Using GANs, behavioral biometrics, and explainable AI, his model improves accuracy, reduces false positives, and integrates human oversight to ensure scalable, ethical, and regulatory-compliant detection.

  continue reading

2002 episodes

Artwork
iconShare
 
Manage episode 480242984 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/driving-real-time-fraud-detection-with-generative-ai-insights-from-pallav-kumar-kaulwars-research.
Pallav Kumar Kaulwar uses generative AI to create adaptive, explainable fraud detection systems for real-time financial risk and AML compliance.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #generative-ai-fraud-detection, #pallav-kumar-kaulwar, #financial-fraud-prevention, #aml-compliance-ai, #explainable-ai-(xai), #gans-in-finance, #human-in-the-loop-ai, #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.
Pallav Kumar Kaulwar’s research presents a generative AI-powered framework to predict, detect, and explain financial fraud in real time. Using GANs, behavioral biometrics, and explainable AI, his model improves accuracy, reduces false positives, and integrates human oversight to ensure scalable, ethical, and regulatory-compliant detection.

  continue reading

2002 episodes

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