fraud detection

3 statements across 3 episodes · 1 bullish · 1 bearish · 3 people on the record · first statement May 27, 2014 by Jason Tan · across every show →

Everything said about fraud detection, oldest first

May 27, 2014 negative
Insight
Tan: Traditional rule-based fraud detection systems do not scale
“So this is the way that things are done, is really building these rule-based systems that do not scale, okay?”
Jason Tan May 27, 2014 ▶ 7:40 Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
May 29, 2014
Insight
Laplanche: Fraud detection relies on correlation rather than causality
“In terms of fraud, we're really trying to correlate different data points without necessarily looking for a causality. What matters is, is correlation in this case.”
Renaud Laplanche May 29, 2014 ▶ 11:03 Renaud Laplanche, Lending Club // Data Driven #27 // May 2014 (Hosted by FirstMark Capital)
Feb 7, 2022 positive
Insight
Eifrem: Detecting normal-looking fraud rings requires graph databases
“What it won't capture is that what if you have a number of transactions that are all within this band of what's normal, but they're connected in fraudulent ways, like a fraud way. Like the only way you can find that is if you can operate and connect the data, …”
Emil Eifrem Feb 7, 2022 ▶ 8:40 Fireside Chat: Emil Eifrem (Co-Founder & CEO, Neo4j) with Matt Turck (Partner, FirstMark)
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