From day-to-day users to major tech and security industries everyone is utilizing the face recognition solution in their processes and operations.
Initially, when the world was using non-biometric methods of authentication, people were exposed to several risks online. With the digitalization of the world, we have seen multiple online platforms that assist in almost all possible ways. The ease that the platforms provide makes the online audience rely on their services and solutions. To take advantage of the trust of the users, attackers, specifically cybercriminals have invented various ways of disturbing the system. They steal user identities and information and gather users’ assets and belongings. This process is termed money laundering in financial terms.
To protect the community from this issue of theft, the security agencies have come up with a biometric system of authentication. Face recognition is one of the biometric methods of security that ensures the user is verified by biometric means to access the online system of any business or organization.
What is a Facial Recognition Solution?
The Facial system of verification is the latest installment in the field of biometric authentications and verification systems. The facial recognition system is an AI-Based verification system that uses the human face as the input and detects different aspects of the input to distinguish and verify the user from other users. It is mostly used as the primary authentication service at many offices and organizations to manage their employees and clients.
Risks Involved In Traditional Methods of Authorization
The traditional methods of authorization carry multiple risks and dangers as the attackers have bypassed the old security protocols with their new hacking toolkits.
Stealing User Identities
They use different attacking techniques to get their hands on the user’s credentials which are the user’s pin or passwords. Overtaking a user profile was easy with old methods that do not provide any extra layer of security and authentication. Attackers then use those accounts for illegal activities of spamming, scamming, and money laundering over the internet.
Creating Synthetic or Forged Identities
The old method has faced major identity theft attacks harming over 33% of the users just in the United States. Another major issue involved with the traditional methods is synthetic identity fraud. By using a combination of stolen and fake information the attackers started creating multiple forged or synthetic identities which they use for the purpose of illegal activities including money laundering and resource takeovers.
Facial Verification Services
The solution to all the previous methods of authentication is the biometric way of user verification. The facial recognition solution is an efficient way to safeguard user identities over the internet. With the improved detection and verification, companies use face recognition as a KYC compliance user verification engine to identify real users and attackers within the system.
Intelligent Face Detection With AI Systems
The facial recognition system has evolved to a state where it can intelligently detect human faces up to a rate of 97% accuracy in ideal conditions of lighting and exposure. With AI the system marks the user’s facial features such as skin color, eye color, position, jawline structure, and depth or geometry of the face. The AI-based systems are self-learning systems with improved results over every face scanning. It develops a deep learning pattern over time which enables faster detection of human faces. The benefit of using an AI-Based facial recognition system is the validation of users over other objects and fake entries as it can intelligently identify the real faces of the users with improved technologies such as 3D facial scanning and deep learning.
Secure Real-Time Face Verification
The face verification is carried out as per the laws of KYC and AML to verify the user and their clients. Face verification is secure and quick which is due to the fact that organizations verify their clients by real-time identification. The detected faces are saved in the repository of the organization and are used for future verification of the user. Following the KYC compliance, the users are verified at the time of onboarding, they are required to complete the cycle of face checks to get their access to the system. With liveness detection, the users are detected live by the organization with means of a video call or a selfie verification to ensure the right person is on the other side of the user profile online. Document verification service is also used for this purpose.
Wrapping It Up
We have seen most people using face recognition as a daily security service on their phones and other devices such as laptops and tablets. It is the most used method of unlocking mobile phones as over 80% of the audience have selected it. Face recognition is a fast and reliable solution as it processes facial data quickly and accurately. It is also playing a keen role in fulfilling the KYC compliance for the identity verification of the user at any phase of onboarding.