Secure your platform from fraud attacks
Trusted users from the start
Ensure true user identity using biometrics
Verifying ID numbers alone is insufficient to catch most fraud. Biometric face matching ensures that only legitimate users are signing up for accounts.
Build risk profiles with watchlist screening
Screen users against sanctions, PEP and adverse media lists to monitor a user’s risk level.
Detect duplicate accounts
Scan all previously checked faces and get notified if there is a match reliably indicating if a user has signed up for or attempted to sign up for your service in the past.
Facial biometrics designed to prevent fraud
Step 1: Face Matching
Step 2: Liveness Checks
Step 3: Spoof Detection
Protect your platform and your customers from fraud
Automatically spot anomalies to prevent fraud on your platform & onboard trusted users.
Highly accurate face matching
SmartSelfie™ is designed for African faces: we have trained our machine learning algorithms on over 5M African faces to produce a 99.8% matching accuracy rate in real-time.
Biometric two-factor authentication
Biometric two-factor authentication protects your customers' accounts from theft and other vulnerabilities at transaction points.
Anti-spoof detection
Our algorithm checks for spoof images from simple fakes, such as photos of printouts or other screens, to complex “deep fake” images to ensure the selfie is of the user behind the camera.
Prevent onboarding of risky users
Screen new and existing users against over 1100 global and African sanctions, PEP and adverse media watchlists to ensure you aren’t letting known fraudsters into your platform.
Products to help you with Fraud Prevention
Smile Secure
Identify users attempting to create multiple accounts using facial biometrics.
AML Check
Screen new and existing users against over 1100 sanctions, PEP and adverse media lists.
Ready to get started?
We are equipped to help you level up your KYC/AML compliance stack. Our team is ready to understand your needs, answer questions, and set up your account.