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Skyflow द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Skyflow या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal
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Fighting Fintech Fraud with Sardine’s Soups Ranjan

36:31
 
साझा करें
 

Manage episode 352874589 series 3386287
Skyflow द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Skyflow या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

Fraud can be crippling to a business. It hurts your revenue, reputation, and customers. Fintech fraud is a super complex space, with bad actors using a variety of attacks like identity attacks, credit card theft, and phishing scams, it’s a lot for any company to tackle on their own. Sophisticated fraudsters leverage weaknesses in protocols like SMS, the phone system, email, and DNS.

Soups Ranjan, CEO and Founder of Sardine, joins the show to discuss the different types of fintech fraud attacks that take place and how Sardine uses machine learning to automatically detect and prevent fraud.

Soups has a PhD from Rice University in denial-of-service attack prevention and has been working in fraud detection for a decade across companies like Yelp and Coinbase. With a strong background in data science and a ton of real world experience, Soups is an expert in this space.

Topics:

  • How did you learn fraud prevention?
  • What is fraud for fintechs and how is this different from other forms of fraud like ecommerce fraud?
  • Who are the fraudsters?
  • Is detecting fraud for crypto harder than other forms of fraud detection?
  • What were some of the tools and technologies you’ve built to help reduce fraud?
  • Why is machine learning the right approach? Are there ever humans in the loop as well?
  • What’s the input to the model?
  • How does training work? Where are the labels for training coming from?
  • What does it mean to deploy a ML model? How do you know the model is an improvement?
  • How has your experience in the fraud space led to the founding of Sardine
  • How does Sardine help optimize someone’s fraud pipeline?
  • What’s the typical evolution for fraud detection that a company goes through? Do they start out trying to DIY something?
  • What impact does Sardine have for a business and how quickly do they see ROI?
  • What are your thoughts on the future of fraud detection?
  • Are there technologies in this space that you are particularly excited about?

Resources:

  continue reading

63 एपिसोडस

Artwork
iconसाझा करें
 
Manage episode 352874589 series 3386287
Skyflow द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Skyflow या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

Fraud can be crippling to a business. It hurts your revenue, reputation, and customers. Fintech fraud is a super complex space, with bad actors using a variety of attacks like identity attacks, credit card theft, and phishing scams, it’s a lot for any company to tackle on their own. Sophisticated fraudsters leverage weaknesses in protocols like SMS, the phone system, email, and DNS.

Soups Ranjan, CEO and Founder of Sardine, joins the show to discuss the different types of fintech fraud attacks that take place and how Sardine uses machine learning to automatically detect and prevent fraud.

Soups has a PhD from Rice University in denial-of-service attack prevention and has been working in fraud detection for a decade across companies like Yelp and Coinbase. With a strong background in data science and a ton of real world experience, Soups is an expert in this space.

Topics:

  • How did you learn fraud prevention?
  • What is fraud for fintechs and how is this different from other forms of fraud like ecommerce fraud?
  • Who are the fraudsters?
  • Is detecting fraud for crypto harder than other forms of fraud detection?
  • What were some of the tools and technologies you’ve built to help reduce fraud?
  • Why is machine learning the right approach? Are there ever humans in the loop as well?
  • What’s the input to the model?
  • How does training work? Where are the labels for training coming from?
  • What does it mean to deploy a ML model? How do you know the model is an improvement?
  • How has your experience in the fraud space led to the founding of Sardine
  • How does Sardine help optimize someone’s fraud pipeline?
  • What’s the typical evolution for fraud detection that a company goes through? Do they start out trying to DIY something?
  • What impact does Sardine have for a business and how quickly do they see ROI?
  • What are your thoughts on the future of fraud detection?
  • Are there technologies in this space that you are particularly excited about?

Resources:

  continue reading

63 एपिसोडस

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