AI vs Fraud Investigators: The Surprising Results of Chen Zamir's LLM Experiments

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This episode of the Fraudology Podcast episode features a riveting discussion between host Karisse Hendrick and returning guest Chen Zamir on the unexpected potential of large language models (LLMs) in fraud detection. Chen details his recent experiment using Claude AI to analyze transaction data, which yielded surprisingly accurate results in identifying fraudulent activity without any specialized training or data preparation. The conversation delves into the implications of these findings, exploring how LLMs could democratize access to sophisticated fraud prevention tools for businesses of all sizes.

Chen and Karisse examine the pros and cons of this technology, including its ability to uncover previously undetected fraud patterns and its potential impact on the job market for fraud investigators. They also discuss practical applications for businesses looking to enhance their fraud prevention strategies using readily available AI tools.

Don't miss this thought-provoking exploration of AI's role in combating financial crime – tune in now to stay ahead of the curve in fraud prevention.

To connect with Chen Zamir: https://www.linkedin.com/in/chen-zamir-b8b36828/

To subscribe to Chen's Newsletter, "The Saturday Fraud Strategist":

https://www.nativerisk.com/newsletter

Fraudology is hosted by Karisse Hendrick, a fraud fighter with decades of experience advising hundreds of the biggest ecommerce companies in the world on fraud, chargebacks, and other forms of abuse impacting a company's bottom line.

Connect with her on LinkedIn

She brings her experience, expertise, and extensive network of experts to this podcast weekly, on Tuesdays.