The Role of Liveness Detection Technology in the Authentication and Onboarding Process



Digital technology continues to develop and provide us with a better quality of life. One such technology is liveness detection capability, which is generally found in biometric scan technology.


Liveness detection is a biometric technology system used to detect the authenticity of a person's fingerprint, face, or other biometrics. It will verify a person’s identity as genuine if the analysis results show similarities between the stored biometric data and the live biometric data displayed.


Given this capability, liveness detection technology has become an integral part of the authentication and onboarding process in the company. The purpose of implementing this technology is to verify the identity of both new and existing customers.


Liveness detection is now widely implemented because it is considered to be more secure than other security protocols. So, what is the role of this technology? And how does it affect the authentication and onboarding process? Here's the explanation.


Liveness detection offers a high level of security based on machine learning


Cybercrime cases have increased in recent years. Identity-data theft is often heard in conjunction with major international corporations such as Facebook and Instagram. As a result of this trend, digital companies need a security system that is able to protect the identity data of consumers or customers effectively. This is where the role of liveness detection technology comes in.


Liveness detection technology has the ability to analyze a person's biometric data—whether fingerprint, face, voice, or otherwise—using machine-learning algorithms that are part of artificial intelligence (AI) technology. Thanks to machine learning, this technological method is able to more accurately detect a person's biometrics, thus providing better protection for consumer identity. Accuracy rates reach 99.8%.


In addition, the liveness detection method also applies a deep-learning system from artificial intelligence that prevents the misuse of photos, videos, or other such data to fake someone's identity; for example, when someone tries to access another person’s account by using a photo of the account owner or a record of the account owner who is not at the same location at the same time.


Liveness detection technology is more difficult to hack, thus protecting consumers


Forgery of identity using photos, videos, or masks is generally carried out by hackers who are constantly looking for loopholes in order to gain access to authentication for digital signatures or other transactions. In the case of biometric scans, for example, hackers usually use ‘deep-fake’ human image engineering techniques created with AI technology to convincingly imitate someone's biometric data.


However, these deep-fake techniques don’t work with liveness detection, because for biometric verification to be successful, it must still be able to prove that the data shown is actual, and not a recording.


Currently, deep-fake videos cannot be rendered in real-time without large amounts of computing resources. Not only that, the rendering process in real time also requires many sources of high-quality audio and video material to train machine-learning algorithms on computers.


So while a deep-fake might convince someone, it won't be able to bypass the biometric verification process with liveness detection capabilities. In other words, using liveness detection in conjunction with a biometric scan system can prevent cybercrime. This means that consumers and customers can be authenticated without worrying about their personal data being used by others to do the same access.


Liveness detection is easy to integrate with mobile-device usage


The role of liveness-detection technology is getting easier to implement in authentication systems thanks to the ease of integrating it with mobile devices. Many smartphones have already implemented liveness detection in the form of face verification using their built-in camera, making it easier to integrate facial recognition.


In addition to authentication, liveness-detection technology can also be applied for mobile onboarding purposes. Mobile onboarding is the process of consumers joining the company during registration, which requires several procedures for recording personal data and verifying identity. Liveness detection that is easily integrated with mobile devices makes the onboarding process faster and easier. Consumers no longer need to come to the office or meet face to face with officers to register, but can complete onboarding from home.


This can occur because liveness-detection technology has a high level of accuracy.


Can your company apply these capabilities to the services you provide to consumers? Of course it can. By choosing a credible biometric verification system such as VIDA Verify, your company can access the optimal liveness-detection function for your customer authentications or onboarding. VIDA has been certified as an Electronic Certificate Provider (PSrE) by the Ministry of Communication and Telecommunications, Bank Indonesia, and the Financial Services Authority (OJK).


With official certification from the relevant legal institution, VIDA Verify can guarantee the security of identity verification through liveness-detection services that are legal and meet standards for your company's consumers and customers. Contact VIDA today.








Read: The Importance of Identity Verification Technology for Companies in the Digital Age

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