When you get hit by a fraud attack, the second question should be what kind of fraud am I actually dealing with. First party fraud vs third party fraud isn’t just a technical distinction. It fundamentally changes how you respond and what tools you deploy. I’m constantly amazed by how many teams either can’t tell the difference or don’t think it matters.
This episode is about fixing that.
What you’ll hear in this episode:
The core definitions of first party fraud and third party fraud
The specific signals that separate the two in practice
Two real, costly examples of teams deploying the wrong tools
Why third party fraud may be easier to detect than most people assume and why first party fraud may be harder
The specific tool stack each fraud type requires
Why most fraud prevention tooling was built around third party fraud by default
You should listen to this episode if you:
Are trying to diagnose a rising fraud rate and aren't sure whether you're facing first party or third party fraud
Have invested in KYC identity verification or device fingerprinting fraud tools without seeing the results you expected
Are responsible for account takeover detection and want a clearer sense of which signals actually matter
Need to make the case internally for fraud prevention ROI by matching the right tool to the right fraud type
Are dealing with money mule detection or collusion fraud cases that don't cleanly fit either category
Podden och tillhörande omslagsbild på den här sidan tillhör
Chen Zamir. Innehållet i podden är skapat av Chen Zamir och inte av,
eller tillsammans med, Poddtoppen.
