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Document Fraud
How to Spot a Fake Utility Bill

How KYC, KYB, rental, and lending teams spot fake utility bills used as proof of address: edited vs generated files, tells that work, six file checks.

Compliance
What Is the OFAC SDN List?

The OFAC SDN List names blocked persons, vessels, aircraft, and crypto addresses. How screening works, what a true hit requires, and what a miss costs.

Compliance
Bust-Out Fraud Detection: The Borrower Who Never Meant to Pay

How bust-out fraud works, how it differs from default and account takeover, the signals and features that catch it, and why the loss ends up as a SAR.

Document Fraud
Fake Document Templates: How to Detect Template-Made Files

How fake document templates and template farms work, why template-made files have no issuance history, and how to detect them in KYC and lending.

Compliance
BSA/AML Risk Assessment: How to Conduct One Examiners Trust

How to run an enterprise BSA/AML risk assessment: FFIEC categories, inherent vs. residual risk, refresh triggers, examiner criticisms, program linkage.

Compliance
Sanctions Screening Name Matching: How Fuzzy Matching Actually Works

How fuzzy name matching works in sanctions screening: Levenshtein, Jaro-Winkler, phonetic keys, OFAC's own scorer, threshold trade-offs, and validation.

Document Fraud
Serial Document Reuse Detection: How Recycled Files Get Caught

Serial document reuse detection catches one statement, stub, or ID recycled across unrelated applicants. Why single-file review misses it.

Compliance
What Are the Three Stages of Money Laundering?

Placement, layering, and integration: the techniques, transaction-data signatures, and controls at each stage, and why real schemes break the model.

Real-world impact
from teams using Sphinx

See case studies

COO of $5B AUM Bank

“We used to spend so much time stuck in AML alert backlogs – Sphinx made that go away and gave us room to scale.”

“We used to spend so much time stuck in AML alert backlogs – Sphinx made that go away and gave us room to scale.”

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Jorgen Osio Norgaard
CCO, Alviere

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Portrait of a man created using a textured dot pattern in green on white background.

 “We used to spend so much time stuck in AML alert backlogs – Sphinx made that go away and gave us room to scale.”

 “We used to spend so much time stuck in AML alert backlogs – Sphinx made that go away and gave us room to scale.”

1 hour
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37%
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Francis forde
CCO, Wert
Smiling man in suit and tie, portrayed in a blue halftone dot pattern.

"Our team would spend hours resolving AML alerts and we were constantly at capacity. With Sphinx, reviews now take minutes. Time to resolution is 10x faster. It freed up a huge amount of time."

"Our team would spend hours resolving AML alerts and we were constantly at capacity. With Sphinx, reviews now take minutes. Time to resolution is 10x faster. It freed up a huge amount of time."

1 hour
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37%
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