Fraud Consultant

Daniel Gerhat

Daniel is a Fraud Consultant at SEON with over seven years of experience in financial crime investigation. He rose to Senior AML Investigator at Wise and held earlier roles at Citi. His casework spans high-profile money laundering matters, including state corruption, human trafficking, sanctions evasion and online child abuse cases. He studied network analysis at Stanford and holds AML certifications from the ABA, UNODC and ACAMS.

Focus Topic

AML Compliance

Connect on LinkedIn

Article

Your AI Tool Can Do More Than You Think With Your Fraud & AML Data

TLDR: As a fraud or AML analyst, you’ve probably run this workflow a dozen times. You paste a batch of…
Article

Tell Your AI Who You Are: Persistent Context for Fraud & AML Investigation

TLDR: Your first few AI queries probably felt flat. You asked something like “show me declined transactions from the last…
Article

How to Build Your First AI Skill For Fraud & AML Investigations

TLDR: Most skills take two or three iterations to get right — with this guide, you’ll have something useful by…
Article

Your Vendor Calls It Unified, But Your Token Bill Calls It Something Else

TLDR: Teams across fraud and anti-money laundering (AML) are adopting AI faster than any other technology shift in history, and…
Article

Fraud Analysts Are Already Using AI. Here’s What They’re Still Missing

Fraud analysts are using AI, but fragmented data means they’re missing the signals that matter most. Here’s the fix.