Banking

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The rise of AI-driven fraud in banking

Traditional AML and KYC checks can’t protect banks against emerging threats powered by AI. A new approach is needed.

Money muling

$2 trillion
Money laundered globally every year

Fraudsters use fake or stolen identities to open accounts and launder illicit funds. Some real customers even sell or "rent" their accounts to criminals, making detection difficult.

Source: Mastercard

Account takeover

$6k to 13k
Average losses per ATO incident in banking

Cybercriminals breach accounts using compromised credentials, phishing tactics, and dark web-sourced data, leading to fund theft and fraudulent transactions.

Source: Liminal

Synthetic identity fraud

$6 billion
Cost of synthetic identity fraud to banks

Fraudsters use real ID documents and fake or disposable contact details to create synthetic identities and bypass standard KYC and AML checks.

Source: KPMG

Social engineering

10x
Increase in bank-reported scams in 2024

With AI tools at their disposal, fraudsters are escalating social engineering attacks, driving record banking losses through phishing and impersonation scams.

Source: BioCatch

Solutions

Protect all banking activities, in real time

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

“The integration of Trustfull’s identity scoring algorithms in our AML/KYC process allowed our bank to identify suspicious behavior in the account opening phase, with positive impacts on the overall onboarding process and account opening times.”

Luca Crivellari

Security & Antifraud Director, Banca Sella

Read more
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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.
News

Learn more about fraud prevention in banking

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