Sber

Enterprise-grade biometric authentication system for secure banking operations

Sber Biometric Authorization System

For Sber, we developed an enterprise system for biometric authentication and identity verification designed to handle high volumes of biometric authentication sessions with strong security controls, stable operation, and audit-ready architecture. The platform combines modern microservices, encrypted communication, and intelligent load balancing to enable real-time biometric logins across web and mobile platforms.

Challenge

Sber needed a new authentication layer that: • Designed to process high volumes of biometric authentication requests reliably • Is secure, scalable, and fault-tolerant • Supports full logging & compliance • Can be integrated into a containerized infrastructure • Seamlessly integrates with existing identity providers In short: a modern, modular platform for security-critical processes.

Our Approach

1 — Microservice-Based Architecture We developed independent services for: • biometric validation • session and token management • document and ID verification • event and audit logging Communication between services occurs asynchronously via message queues. 2 — Containerization & Orchestration All services were implemented using Docker and operated in Kubernetes: • automatic horizontal scaling • high fault tolerance (self-healing) • rolling deployments designed to minimize service interruptions 3 — Security & Compliance The system was developed with security standards aligned with banking requirements: • encrypted service-to-service communication • multi-factor validation • adaptive throttling mechanisms • comprehensive audit logging and traceability mechanisms 4 — Integration & Extensibility The platform was designed to flexibly integrate into: • existing identity providers • internal banking systems • mobile and web apps

Results

  • High-volume biometric authentication handling at scale
  • Significantly reduced service interruptions compared to the previous architecture
  • Architecture supporting auditability and compliance processes
  • Seamless integration with internal and external identity providers
  • Designed for stable performance under high load

Metrics reflect project-specific conditions and are not guaranteed outcomes for other systems.

Technical Stack

Backend: Java 17 · Spring

Database: Oracle

Infrastructure: Docker · Kubernetes

Messaging: asynchronous queues

Duration: 18 months

Team: 5 engineers

Why It Matters

The architecture developed in this project sets standards for modern security-critical systems. The same principles — modularity, security, scalability, and clear responsibilities — now flow into our startup and enterprise projects, where reliability and data protection are crucial from the start.

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