Fraud Detection
topic on 4 shows · 6 statements across 6 episodes
the Y Combinator Startup Podcast 
Latent Space 
Top Founders 
the MAD Podcast
6 statements about Fraud Detection, every show
Sands: AI Agents Will Make Fraud Decisions Within Six Months
“Now you can think about, okay, actually foundation model, text alignment, like human readable description of like why we're worried about this charge. And then today, a human tomorrow, an agent sitting on top of that and decisioning, like reasoning over The mo…”
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, …”
Munford: Trulioo sees M&A opportunities in fraud, biometrics, and orchestration
“I think there's a lot of areas for opportunities in fraud, a lot of areas for opportunity in things like biometrics. There's, you know, parts of the orchestration of how you orchestrate multiple different steps in an identity journey. All these things we have …”
Gill: Publishers avoid Backtracks because it filters out fraud
“We have people not use us because we detect fraud, we remove things like that”
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.”