Crypto

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Leverage actionable, real-time risk intelligence to combat illicit financial activities and ensure AML compliance.

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Crypto’s on-going battle against fraud

Money laundering and fraud prevention are a key priority for crypto businesses looking to balance growth and security.

Money laundering

$22.2 billion
Amount laundered through crypto networks in 2023

Exploiting security gaps and fast onboarding processes on crypto platforms, fraudsters continue to create and use mule accounts to move illicit funds across borders.

Source: US Department of Justice

Account takeover

$5.6 billion
Cryptocurrency amount lost to fraud yearly

Hackers are increasingly using stolen credentials, phishing, and social engineering to access existing crypto accounts and steal funds.

Source: FBI

Synthetic identity fraud

$23 billion
Losses due to synthetic identity fraud by 2030

Crypto platforms are being increasingly targeted by fraudsters creating synthetic identities to bypass KYC and AML checks and launder money across borders.

Source: Deloitte

Social engineering

$494 million
Value of assets drained from crypto wallets in 2024

After tricking users into signing malicious transactions, attackers gain full access to their crypto wallets and instantly drain all assets.

Source: The Block

Solutions

Stop fraudsters in their tracks

Score, approve, decline or send for review new accounts, logins and transactions in real‑time with no impact on the user experience.

SESSION

Detect high-risk web sessions in real time without disrupting real users and trusted AI agents.

Checkout page on smartphone

ONBOARDING

Enhance user verification during customer onboarding, verifying genuine sign-ups in seconds.

Onboarding page on smartphone

LOGIN

Prevent end-user accounts from being compromised with multilayered ATO protection.

Login page on smartphone
Platform overview

The Ultimate Identity Intelligence Hub

Trustfull’s complete suite of APIs, models and workflows powers accurate detection of fraud and fincrime attemps during every sign-up, login and transaction event.

Verify users with open source intelligence

Unlock digital signals as trust and risk indicators. Silently check phones, emails, IPs, devices and browsers.

Spot suspicious links with identity graphs

Spot connections between various digital attributes to identify anomalies and suspicious patterns.

Customize risk scoring through models

Choose from a library of ready-to-use models or build your custom score using our no-code rule engine.

Enhance model performance with insights

Test model accuracy and optimize performance against training samples.
Verify users with open source intelligence
Spot suspicious links with identity graphs
Customize risk scoring through models
Enhance model performance with insights
News

Learn more about fraud prevention in crypto

New Account Fraud: How Can Fintech and Banks Prevent It?
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New Account Fraud: How Can Fintech and Banks Prevent It?

What is new account fraud? How can it be detected and prevented for companies within the financial services sector.
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How Does Layering in Money Laundering Work
Article

How Does Layering in Money Laundering Work

Money laundering is often a topic in financial crime discussions, it's a global phenomenon. Within it lies a complex process known as 'layering.'
Learn more
Money Muling: The Covert Conduit of Illicit Financial Flows
Article

Money Muling: The Covert Conduit of Illicit Financial Flows

What is money muling? This phenomenon has become a constant issue within the financial infrastructure (eg. digital banking, fintech, crypto).
Learn more

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