New account fraud
Detect fake accounts at signup
New account fraud at a glance



Frictionless protection against new account fraud
First line of defence
Assess user risk at the very beginning of the onboarding process.
Silent checks
Detect fake accounts without slowing down legitimate users.
OSINT-based
Leverage the power of hundreds of digital open source intelligence signals.
Fully customizable
Customize scoring models to meet your business’s specific requirements.




“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

Frequently asked questions
Synthetic identity fraud combines real data with fake details to create a “new” person. Unlike traditional identity theft, there’s no single real victim who notices quickly. These synthetic profiles can age over time, build credit, and then default or cash out at scale.
Common red flags include mismatched identity data, disposable emails, VOIP numbers, and devices used for many different identities. You may see rapid-fire applications from the same IP, address, or device fingerprint.
Fraudsters combine breached or stolen personal data with fabricated names, newly registered email addresses and disposable phone numbers. They apply for credit or accounts, slowly building a history with low-risk behavior so the identity looks “real.” Once trusted, they request higher limits, loans, or products and then stop paying or cash out.
Effective strategies include email and phone analysis, device and IP intelligence, and phone-to-name or email-to-name checks. Layering data sources and leveraging open source intelligence (OSINT) techniques helps flag risky applications while letting good customers sail through.



