Enhanced security through 3D Secure protocol for e-commerce transactions.
Multi device compatibility support via 3DS and biometrics.
Supports frictionless customer experience via risk-based authentication.
Regulatory compliance for on-soil and scheme readiness.
Multiple cardholder verification methods supported - OTP via SMS, Push notifications, biometrics.
3D Secure (3DS) is an authentication protocol designed to enhance the security of online transactions by verifying the cardholder's identity during a purchase. Examples include Mastercard SecureCode, Visa Secure, and AMEX SafeKey.
3DS 1.0: Older version, typically requires OTPs and often causes checkout delays.
3DS 2.0: Offers a frictionless user experience with Risk-Based Authentication (RBA) and supports mobile-first and biometric authentication.
It uses multi-factor authentication and risk analysis to confirm the cardholder's identity, preventing unauthorized transactions.
3DS 2.0 significantly improves the customer experience by minimizing friction for low-risk transactions while securing high-risk ones.
Biometrics use unique physiological or behavioral traits, such as fingerprints, facial recognition, or voice, to verify a user’s identity during a transaction.
Biometrics can be used as an additional or alternative authentication factor within the 3DS 2.x framework, making the process more secure and user-friendly.
Yes, biometrics are more secure as they are difficult to replicate or steal compared to passwords or OTPs, which are vulnerable to phishing and other attacks.
Users need a device equipped with biometric sensors (e.g., fingerprint or facial recognition) and compatible payment platforms, such as mobile phones or biometric-enabled cards.
Yes, biometric authentication complies with global standards like GDPR, PSD2, and SCA, provided it is implemented securely and with user consent.
RBA assesses the risk level of a transaction based on various parameters (e.g., user location, device type, spending patterns). Low-risk transactions proceed without additional authentication, while high-risk ones trigger step-up authentication.
RBA allows most transactions to proceed seamlessly without requiring OTPs or additional steps, reducing friction and improving user satisfaction.
RBA analyzes data such as:
Device fingerprints
Transaction history
IP address/location
User behavior patterns
Merchant risk score
RBA is highly effective when combined with advanced machine learning models, as it continually adapts to new fraud patterns and learns user behavior.
Yes, RBA works in tandem with 3DS and biometrics to further enhance security by triggering step-up authentication only when necessary.
