New Account Fraud Prevention
Stop fake sign-ups
at the door
How account fraud can impact you
How Sumsub prevents account fraud
- At registration, Sumsub analyzes email and phone risk, IP and geo signals, and device characteristics, all without adding friction for legitimate users.
- All trusted digital footprints are either instantly verified or undergo light verification.
- Device Intelligence and Fraud Network Detection reveal account farming patterns, including bot-like environments
- Abnormal signup velocity and repeated use of the same device, network, or location across multiple accounts are flagged
- By using signals such as fingerprints, IP/geo patterns, and device attributes, uncover duplicate account rings that can appear legitimate on their own.
- Block, step-up, or investigate with fraud network detection at the cluster level.
- When risks spike, document and biometric checks are triggered to prevent impersonation, synthetic identities, and repeat attempts.
- Easily follow the ‘one person for one account’ policy, without enforcing verification for everyone, saving on your verification expenses.
- Choose to automate decisions end-to-end, or use the risk assessment as input and apply actions yourself.
- Suspicious activity is escalated into Case Management, allowing for faster investigations with full context, consistent decision-making, and an audit trail.
Stop multi-accounting in any industry
The impact of Sumsub’s
solutions
Sumsub is a recognized Leader
KuppingerCole Leadership Compass
Sumsub’s Fraud Prevention is recognized as an Overall Leader by KuppingerCole Analysts
Frost & Sullivan
A Leader in the Frost Radar™ for Fraud Detection and Prevention (KYC), 2023
Chartis RiskTech
Quadrant Category Leader Enterprise Fraud Solutions
Gartner
Named a Leader in the 2025 Gartner® Magic Quadrant™ for Identity Verification
Forrester
Recognized as a Leader in the Forrester Wave™
IDC
Named a Leader in IDC MarketScape for Worldwide Identity Verification in Financial Services 2025
Don’t take our word for it.
Here’s what our clients have to say
- By using these advanced fraud detection capabilities, we can proactively mitigate risks and ensure that our operations remain secure and compliant. This also allows us to better detect and prevent potential fraud or money mule activities.
Akin AkandeCompliance & Financial Crime Analyst at iFAST Global Bank - We’ve seen that we are no longer a target for professional fraud networks, which was a major headache for us and our clients. Fraud cases dropped by 90%, and most importantly, our user conversion rate didn’t decrease, which is often a concern when implementing this kind of solution.
Daniel LondoñoDirector of Product and Operations at Zubale - Thanks to Sumsub, we have significantly reduced fraud on our platforms. Overall, Sumsub has contributed to a 50.36% decrease in fraudulent transactions on Ari10 products.
Jacek KubiakProduct Manager at Ari10
Get started today
Gain a clear view of all users’ digital footprints to block out all types of multi-accounting fraud attempts to remain safe and grow securely.
FAQ
What is new account fraud?
New account fraud occurs when criminals create new accounts and access online services using stolen, synthetic, or fake credentials, or bots, in order to commit illicit activity, such as money laundering, money muling, loan exploitation, or to abuse bonus schemes.
What is multi-accounting?
Multi-accounting is when a single person creates numerous online accounts on a single platform using different identities to gain unfair advantages, exploit bonuses, or commit fraud. This is found with fraud networks using various IP addresses and devices, with the more sophisticated fraud rings using emulators, proxy services, and bots to use these accounts for financial gain.
How to detect multi-account fraud during signup?
A multi-layered approach is required to detect multi-accounting, as various data must be captured and analyzed to identify anomalies and patterns that could indicate synthetic, fake, or multiple accounts. This includes device fingerprinting, geo signals, automation tool detection, and IP analysis.
What is digital footprint checks in fraud prevention?
Digital footprint checks analyze signals from email addresses, phone numbers, IP addresses, and devices to assess user risk before full verification. This creates a comprehensive profile of digital behavior patterns that help identify fraudulent users.
How can digital footprint data help detect fraud before KYC?
Digital footprint screening catches fraud indicators like disposable emails, virtual phone numbers, VPN usage, and suspicious devices. These signals appear before KYC starts, allowing you to filter out bad actors early and save verification costs.
What types of digital signals are used in footprint screening?
Sumsub analyzes email deliverability and social media presence, phone number validity and forwarding status, IP geolocation and proxy detection, and device intelligence and behavior patterns.
Is digital footprint screening compliant with data protection laws?
Yes, our digital footprint checks operate within GDPR, CCPA, and other privacy regulations. We collect only necessary data with user consent and provide transparent data processing practices.
How can this reduce manual reviews and onboarding friction?
Pre-screening separates trusted users from suspicious ones automatically. Good users get fast approval while risky applications get flagged for manual review. This reduces workload and improves user experience.
Can we integrate this with existing fraud tools or KYC flows?
Digital footprint screening integrates via REST API, JavaScript SDK, or no-code workflow builder. Connect with your current fraud stack, KYC providers, and transaction monitoring systems.
How accurate is digital footprint fraud detection?
Our combined signals approach delivers reliable accuracy in fraud detection while maintaining low false positive rates. Multiple data points can create stronger fraud indicators than single-signal solutions.