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Document Fraud
Document Fraud Statistics: What the Data Shows

Document fraud statistics from FinCEN, FBI IC3, and FTC — and what those figures miss about edited PDFs, counterfeit templates, and file-level detection.

Document Fraud
How to Spot a Fake Certificate of Incorporation

How to spot a fake certificate of incorporation in KYB: registrar mismatch, edited seals, generated COIs, and serial reuse. Visual review is not enough.

Document Fraud
How to Detect an AI-Generated PDF

How to detect an AI-generated PDF using metadata, empty Producer strings, model artifacts, and the file history visual review misses.

Document Fraud
How to Spot a Fake Pay Stub

How lenders and onboarding teams spot fake pay stubs: edited vs generated files, deposit cross-checks, and what visual review misses.

Document Fraud
How to Spot a Fake Bank Statement

How to spot a fake bank statement: edited-after-creation vs generated-from-scratch, which visual tells still work, and how file history exposes forgeries.

Compliance
Third-Party AML Due Diligence: How Banks Should Evaluate Vendors

How banks evaluate AML vendors under OCC and FFIEC third-party risk rules, including residual BSA risk for processors, screening, BPO, and model vendors.

Compliance
AML Independent Testing Requirements: What Examiners Expect

BSA independent testing: independence, risk-based frequency, sampling, board reporting, and what OCC examiners expect after Bulletin 2025-37.

Compliance
Wire Fraud Detection for Banks: What Actually Works

Wire fraud detection for banks: known-number callbacks, beneficiary checks, mule holds, and 24-hour IC3 recall. IC3 reported $20.877B in 2025 losses.

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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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 “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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Francis forde
CCO, Wert
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"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."

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