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Implementation of Face Biometric Authentication for Enhanced Security
  1. case
  2. Implementation of Face Biometric Authentication for Enhanced Security

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Implementation of Face Biometric Authentication for Enhanced Security

exlrt.com
Financial services

Security Vulnerabilities and Inefficient Authentication

Global Financial Services Inc. faces increasing threats from sophisticated cyberattacks and the limitations of traditional authentication methods like passwords and PINs. These methods are vulnerable to phishing, brute-force attacks, and credential theft. The current authentication process is also time-consuming and inconvenient for customers, leading to potential operational inefficiencies.

About the Client

A multinational financial institution providing banking, investment, and insurance services. Prioritizes robust security measures to protect customer data and assets.

Project Goals

  • Enhance security by implementing a multi-factor authentication system incorporating face biometrics.
  • Improve user experience by providing a convenient and seamless authentication process.
  • Reduce the risk of unauthorized access to sensitive customer data and financial assets.
  • Comply with evolving industry regulations and security standards.

Functional Requirements

  • Facial recognition enrollment and storage.
  • Real-time face detection and capture during authentication.
  • Secure comparison of captured face with enrolled biometric data.
  • Integration with existing IdP authentication workflows.
  • Support for multi-factor authentication (MFA) scenarios.
  • User-friendly interface for enrollment and authentication.
  • Auditing and logging of authentication events.

Preferred Technologies

Computer Vision
Deep Learning
Face Biometrics SDK
Integration with existing IdP platform (e.g., Okta, Azure AD)
Cloud-based infrastructure (e.g., AWS, Azure, GCP)

Required Integrations

  • Existing User Identity Provider (IdP)
  • Customer Relationship Management (CRM) system (optional)
  • Fraud detection system (optional)

Non-Functional Requirements

  • High accuracy and low false acceptance/rejection rates.
  • Scalability to support a large user base.
  • High availability and reliability.
  • Strong security to protect biometric data.
  • Performance: Authentication should be completed within 2 seconds.
  • Compliance with privacy regulations (e.g., GDPR, CCPA).

Expected Business Impact

Implementing face biometric authentication will significantly enhance the security posture of Global Financial Services Inc., reducing the risk of fraud and unauthorized access. The improved user experience will lead to increased customer satisfaction and operational efficiency. By meeting evolving regulatory requirements, the company will strengthen its reputation and maintain customer trust.

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