Kedar Samant – CTO & Cofounder at Simility – Staying One Step Ahead Of Fraud
Finding Genius Podcast
Richard Jacobs
4.4 • 1K Ratings
🗓️ 13 June 2018
⏱️ 26 minutes
🧾️ Download transcript
Summary
Keeping up with the changing methods fraudsters use is a certain challenge for businesses. To combat this problem, fraud and risk management innovator, Simility, has created a platform that takes fraud prevention to a whole new level. Theirsolution uses a multi-layered approach to fraud detection.
Without giving away the secret sauce, in this interview we take a look at how Simility’s software analyzes transactional data to detect fraudulent transactions. Additionally, we explore the use of behavioral and transaction-based fraud-prevention technology and how it determines if certain behaviors are following duplicitous patterns.
Co-Founder and CTO of, Kedar Samant, sits down and talks with us about the advancements they have made in fraud detection and protection and what new security challenges may lie ahead. He also discusses why he believes machine learning and data analytics are both essential for fraud prevention.
For more information, visit: https://simility.com/
Transcript
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| 0:00.0 | Welcome to Almost Here, Around the Corner of Future Technology Podcasts with Richard Jacobs. |
| 0:07.0 | Future Technologies |
| 0:08.0 | Boys to transform our lives for better or worse are the focus of this podcast. Almost here means these |
| 0:14.8 | technologies are now here and starting to be used or just around the corner for |
| 0:19.6 | Bitcoin to artificial intelligence, 3D printing, blockchain, virtual reality, and more. |
| 0:25.0 | This is Richard Jacobs of Future Check Podcast. |
| 0:29.0 | So I'm here with Kid R Summons, the CTO and co-founder of Simility, and we're going to be talking about fraud detection. |
| 0:36.4 | So, you know, how you doing? |
| 0:38.0 | I'm doing good. |
| 0:39.0 | Thanks for having me over. |
| 0:40.0 | Yes, so tell me about the Simel. You worked with fraud prevention, but fraud where and how, and give me a little bit of background. |
| 0:47.0 | Sure. So yeah, my background has been in the fraud space for over 13, 14 years now, got introduced in the |
| 0:56.2 | financial crime space with the likes of online poker, you know, solving the transaction fraud, money laundering, overall gaming fraud. |
| 1:05.5 | That was kind of my introduction in the space. |
| 1:07.8 | But essentially, you know, building stack, engineering stack products that can help catch many of these anomalies |
| 1:15.0 | and challenging data problems in this space. |
| 1:19.0 | And after that, I spend a lot of time at Google |
| 1:22.0 | for about seven plus years or so. |
| 1:25.0 | Again, solving some of the interesting problems in fraud, anomaly detection, |
| 1:31.0 | specific in the space in ads, in commerce, in consumer products. |
| 1:37.1 | So that kind of was a very interesting and |
| 1:43.0 | how to build large enterprises cater towards finding fraud. |
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