RESOURCES

Field notes on fraud, AML, and crypto risk

Research, playbooks, and case studies from our financial-crime analysts and AI engineers — written for the people who fight fraud every day.

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FEATURED

The false-positive tax: what legacy rules engines really cost compliance teams

AML

RESEARCH · 9 MIN READ · JUNE 2026

The false-positive tax: what legacy rules engines really cost compliance teams

We analyzed alert data across 40 fintech programs to quantify how much analyst time legacy systems waste — and what adaptive models recover.

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Account takeover in 2026: the attack patterns slipping past device fingerprinting

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Tracing funds through mixers: a practical guide to on-chain attribution

CRYPTO

CRYPTO · 8 MIN READ

Tracing funds through mixers: a practical guide to on-chain attribution

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How adaptive models cut false positives without raising your miss rate

PRODUCT

PRODUCT · 5 MIN READ

How adaptive models cut false positives without raising your miss rate

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Structuring and smurfing: detecting layered laundering across fiat rails

AML

AML · 7 MIN READ

Structuring and smurfing: detecting layered laundering across fiat rails

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FRAUD

FRAUD · 4 MIN READ

Synthetic identity fraud: why your KYC stack isn't enough anymore

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Meeting the FATF Travel Rule without breaking your onboarding flow

CRYPTO

CRYPTO · 6 MIN READ

Meeting the FATF Travel Rule without breaking your onboarding flow

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CASE STUDIES

Results we've delivered for our clients

GLOBAL NEOBANK

-61%

false positives in 90 days

Our team rebuilt the bank's AML monitoring on adaptive AI models and freed up half its analyst hours.

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CRYPTO EXCHANGE

$12M

laundering flows traced

Our crypto specialists used AI on-chain risk scoring to surface layering patterns across 9 blockchains.

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LENDING FINTECH

2 weeks

to full deployment

We replaced the client's legacy rules engine with managed AI detection before its next audit cycle.

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