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AnchorZ Inc. | Background Authentication

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Background Authentication®

DZ Security® Core Technology

This is the world’s first user authentication technology to integrate multiple biometric and behavioral data, continuously recognizing users in the background and verifying their identity throughout use.

Issues with Current User Authentication Technologies

Even if you log in safely, your account isn’t fully protected. Your device could still be used by others if you share it or leave it unattended. True security shouldn’t stop at the login screen.

Current security layout issues

Solving the Problem with Background Authentication®

Instead of relying on login, user authentication is performed in the background as needed from the moment a user begins using a device or product, ensuring that the user is always verified as the rightful individual.

This eliminates the risk of third parties impersonating the user through unauthorized account use.

Background Authentication workflow diagram

How Background Authentication® Works

Biometric data, such as facial and voice information, along with behavioral data collected by the device, are gathered as needed and integrated to comprehensively determine whether the user is the authorized individual.

In addition, AI continuously learns from each user’s behavioral patterns based on device and product usage, further improving authentication accuracy over time.

As a result, spoofing attacks targeting specific authentication methods, as well as repeated fraudulent attempts over extended periods, become significantly more difficult to carry out.

Biometric data types illustration

All data is quantified and stored in advance, enabling efficient processing without additional computational costs.

  • Face authentication processing
  • Voice authentication processing
  • Behavior pattern analysis

All authentication data used with Background Authentication® is stored on the user’s device, eliminating the need for servers on the service side to store personal information.

AI then learns from the accumulated data, improving authentication accuracy based on each user’s individual habits.

Background Authentication® Changes the Security Standard

Various security technologies exist to protect companies and users, but if malicious third-party activity cannot be blocked during user authentication, unauthorized access remains unavoidable.

Security standards matrix
Security benchmark comparison graph

Example 1 – Preventing previously unavoidable unauthorized access

Background Authentication® continuously monitors user identity, and if a different user takes over after login, it automatically logs them out.
This ensures that unauthorized access is prevented, even if the device is shared or handed to someone else.

Real-time logout feature use-case

Example 2 – Multi-factor biometric spoofing defense

By integrating multiple biometric data and behavioral information for authentication, Background Authentication® prevents access by impersonators who attempt to spoof specific data, such as facial recognition.

Spoofing protection workflow diagram