Refining Digital Security with Innovative Video Verification Technology

Refining digital security with innovative video verification technology has become essential in combating illegalities toward identity fraud. A recent survey conducted among over 1,000 fraud detection and prevention experts from countries like the United States, the United Kingdom, France, and Germany revealed that a significant number of companies faced advanced identity fraud attacks.

The survey highlighted that 46% of respondents encountered synthetic identity fraud, a method where a mix of real and fake identity elements, such as a false social security number paired with a genuine name, address, and birth date, was used. Integrating effective video kyc technology can significantly enhance security measures by providing a solid solution against these evolving threats.

Let’s explore the comprehensive video verification protocol to know its working operations and how it positively contributes in overall improving performance within enterprises by combating potential frauds. 

What is Video KYC Verification? Understand its Essence in Today’s Digital World

Video KYC  is the advanced version of the traditional authentication protocol, which majorly involves effective techniques that assist in validating identities virtually. Video verification is executed, which includes face feature verification in a wide range of industries. As businesses and other potential enterprises have started operating their workings in digital frameworks, the need for video identity verification has surged to a peak. In this essence, the validation of identities online can assist in streamlining these identity impersonation frauds, which have become the overall cause of the system’s integrity. 

How Does Online Video Verification Actually Work?

Video verification services are accessed by customers who get their validation in real-time. It is simply executed by uploading the identity verification credentials before conducting the video call for authentication. Facial recognition technology examines captured live photos with personal credentials and uses advanced machine learning algorithms to compare the potential areas for completing the verification process. The potential areas include the distance between the eyes, jawline structure, and nose sharpness.

 If 85 - 90% of facial features get matched, the identity of the customers would be announced as the Valid one. The advanced machine learning algorithms, along with the assistance of the artificial intelligence protocols, help in detecting any type of anomalies of spoofing attack and 3D masks so that imposters can be detected and directly blocked or reported to the relevant departments. Thus, online video verification has streamlined the overall experience of financial institutions and other relevant departments. 

Fortifying Identity Impersonation with Video KYC Verification Services

Video verification services majorly contribute to the overall encounter of identity fraud by employing video kyc identification protocols. Identity impersonation has taken over all the systems operations as businesses have diverted their working mechanisms towards digital frameworks. By fortifying the major concerns against already designed sophisticated techniques of the imposters, potential enterprises can streamline their operations in real time through digital systems. 

Deep Fakes

Deep fakes are the advanced illegal tactics for creating forged videos or pictures of someone else. These sophisticated techniques created by potential imposters are considered identity impersonation frauds. Real-time video verification at any service-providing platform can combat the major issues. KYC video identification can assist in identifying anomalies, integrating facial recognition technology and voice scrutinization through detection tools, and mitigating the potential happenings of deep fakes to falsify the systems' working. 

Synthetic Identities

Synthetic identities mix up the real and forged credentials to deceive the systems for getting services in real-time. These mixed-up credentials are represented as authentic identities, which sometimes fool authorized databases and thus serve as a safe zone for getting services that come under illegal activities. Video verification checks are utilized to detect these anomalies and fortify the system’s integral parts. The implementation of verification checks adds an extra layer of security for maintaining reliability within the working frameworks of the potential businesses. 

Spoofing Attacks

Spoofed identities are usually created using 3D masks or other relevant tactics for impersonation attacks. These forged attacks are conducted during live verification, and the system usually asks for selfie submission. The potential imposters wear 3D masks and try to be presented as someone else they are not. But with the integration of liveness detection protocols, the presence of users' identities can be detected as the advanced machine learning algorithms work in such a way that human and artificial behavior can be identified in real time. 

The Bottom Line

The digital security of the system through video verification checks is considered the main gateway for fortifying identity impersonation scams. These advanced digital verification systems have replaced the traditional authentication procedures as they are consuming, lacking authenticity, and utilization of a vast labor force. Thus, regulating electronic identity verification systems can enhance overall productivity by combating significant identity and money loss scams.