This article outlines an architectural approach to enhance user authentication security and experience by integrating Vonage's real-time network-powered identity solutions with Amazon Cognito. It focuses on reducing SMS OTP fraud and user friction through silent authentication and pre-verification intelligence, leveraging direct mobile network operator data. The solution details a composable stack that uses AWS Lambda functions to orchestrate custom authentication flows within Cognito, addressing common attack vectors like SIM swaps and SMS pumping.
Read original on AWS Architecture BlogUser authentication is a critical security touchpoint, frequently targeted by fraud. Traditional SMS One-Time Passcodes (OTPs) suffer from high friction, leading to abandoned user sessions, and are vulnerable to various attack vectors like SIM swaps, SS7 interception, and social engineering. This architecture proposes a solution that combines real-time mobile operator intelligence with Amazon Cognito to create a more secure and frictionless authentication experience.
Traditional identity verification often relies on aggregated, cached, or behavioral data, which can be outdated or spoofed. This leads to several issues:
The core of this solution lies in leveraging real-time data directly from mobile network operators (MNOs). This real-time intelligence provides stronger identity assurance compared to static databases or device fingerprinting. The integration with Amazon Cognito utilizes its `CUSTOM_AUTH` flow, orchestrating the solution through AWS Lambda functions.
Key Architectural Components
The solution integrates Vonage's Identity Insights, Verify API (with Silent Authentication), and Fraud Defender into Amazon Cognito's custom authentication flow, orchestrated by AWS Lambda functions. Edge protection is provided by Amazon CloudFront and AWS WAF, with Amazon API Gateway acting as the entry point.
The architecture comprises five layers working in tandem: