AI-enabled Identity Verification Solutions for Speed and Reliability?

AI-enabled Identity Verification Solutions for Speed and Reliability?

Identity authentication a process use in the digital world to fully confirm the legal relationship between an entity and the identity present. In short, it is identity verification. In the real world, there physical authentication methods such as ID cards, entrance cards, and work permits. In the digital world, certificates, tokens, etc. may display. identity verification is critical to protect user assets and information.

 Generally speaking, traditional authentication methods can divide into three types:

  • identity verification based on information secrets, what you know, what do you know;
  • Authentication based on trusted objects, what you have, what you have;
  • Biometric-based authentication, who you are, who you are.

In order to achieve higher security of identity verification, the above methods are usually selected from a mixture of two or more, the so-called two-factor or multi-factor authentication. Often a biometric technology use.

Biometrics mainly involve fingerprints, faces, sounds, eyes and other technologies. Each type of technology can subdivide into different types according to different principles. For example, the feature recognition of the eye part will divide into eye pattern (white part of the eye), iris ( Pupil), retina, etc.

In theory, biometric authentication is a more reliable method of identity verification because it directly determines the digital identity of each person base on the physical characteristics of the person. The possibility of different people having the same biometric characteristics can ignore, so it is almost impossible. Being counterfeit.

At present, the accuracy and stability of biometric identification still need to improve, especially if the user’s body affect by injuries or stains, which often results in failure to identify normally, and may cause legal users to fail to log in. Secondly, due to the large investment in research and development and the small output, the cost of the biometric authentication system is high.

Authentication in the age of artificial intelligence

 With the rapid development of big data and artificial intelligence technology, information security is facing great challenges. Hackers have begun to use artificial intelligence technology to strengthen their offensive capabilities. To this end, it is imperative to use artificial intelligence technology to improve the ability of identity verification.

Taking voice recognition as an example, with the help of more powerful computing power and mature new algorithms, the current voiceprint technology can analyze the user’s emotions, social status, upbringing, age, ethnicity, weight, height and facial characteristics from the voice. , And the surrounding environment.

The future identity verification system will have the following characteristics:

With multi-factor and multi-dimensional authentication led by risk control, biometrics will be widely used, and the intensity of authentication varies with the scene and environment.

Perform artificial intelligence behavior analysis on multiple factors, and model and portray user behavior. The user does not need to use special equipment, and the authentication process is convenient, fast or non-perceptive, and the background system handles the complicated authentication process.

The emergence of third-party identity authentication service platforms has separated user authentication methods and applications. The authentication platform can provide services for different systems and users to facilitate user operations and protect user privacy.

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