Fraud Prevention Starter Kit
Apply for early access
to a ready-made fraud risk package
Assess onboarding risk sooner without building a full fraud function, custom rules, or complex decisioning from scratch.
60+
Pre-built fraud detection scenarios
690k+
Fraud attempts prevented monthly
1.4B+
Identities enriched via our system
Built for teams entering the next stage
of fraud prevention
Growth brings fake accounts, mule profiles, and coordinated abuse that pass basic checks but still put
payments, payouts, and trust at risk.
Start fast, not from scratch
Turn available signup and verification signals into one fraud risk level using ready-made logic.
Smaller teams can start with a practical baseline, while mature teams can add onboarding risk context to existing fraud decisions and tune rules over time.
Smaller teams can start with a practical baseline, while mature teams can add onboarding risk context to existing fraud decisions and tune rules over time.
Catch risk earlier, review smarter
Spot suspicious users before risk moves deeper into payments, payouts, or account activity, and prioritize reviews on the applicants most likely to need investigation.
Grow without opening the door to abuse
Let trusted users move faster while reserving extra checks for real risk, and protect growth spend from bonus abuse, referral fraud, and low-quality signup traffic.
How the Fraud Prevention
Starter Kit works
One operating framework, from raw signals to a risk-based action, with every confirmed case helping to make
the next decision sharper.
Step 1: Collects and enriches available signals
Step 2: Turns signals into one risk level
Step 3: Takes action using the risk level
Step 4: Develops a learning loop
Collects and enriches available signals
Applicant, contact, network, and device data, already captured through Sumsub's WebSDK, MSDK, API, or pre-KYC integration, depending on where you activate.
Signals may include:
Signals may include:
- Email risk
- Phone risk
- IP, location, and network indicators
- Device intelligence
- Connections to other applicants or known risky users
- Confirmed fraudsters, blocklists
Check if your team qualifies
Fraud Prevention Starter Kit is currently available to selected teams through a closed launch.
Answer a few questions to help us understand your onboarding flow, fraud maturity, applicant volume, and launch fit – takes about 2 minutes.
Don't take our word for it.
Here's what clients have to say
Our clients
Fraudsters
- The Fraud Network Detection feature has significantly helped us identify groups of fraudulent users in emerging markets. By analyzing shared IP locations, devices, and fingerprints, we have been able to detect and prevent multiple fraudulent accounts operated by the same network.
Michael DareFraud Investigator at iFAST Global Bank - Sumsub has made managing risks easier and helped us provide a better customer experience.
Paul ChapmanGlobal Head of Financial Crime Operations at Wirex - With Sumsub, we've managed to reduce user fraud to practically zero. Since we began using Sumsub, fraud is just one less thing we've had to worry about.
Amram AdarCo-Founder and CEO at Oobit