Biometric technology is revolutionizing every industry. It has the potential of revamping the security framework of business entities by taking into consideration the advanced tricks of cybercriminals. The technology employs Artificial Intelligence and Machine Learning algorithms which make biometric authentication and intelligent technology. Eliminating the traditional identity verification measures, biometric technology works by collecting the unique physical traits of the human body such as the face, retina/iris, fingertips, voice acoustics, and DNA, etc.

The businesses operating in an online environment are under the threats of various cyberattacks and financial crimes. The weaknesses in the online systems correspond to loopholes that help fraudsters undergo their malicious activities. From identity theft to high-scale data breaches and money laundering to credit card scams, all are the malevolent activities done by bad actors in the system due to lack of appropriate measure and reliance of businesses over traditional user authentication methods.

Most of these crimes are a result of insufficient and weak security measures and uncontrolled access over user accounts. Biometric authentication is a solution for various industries that are operating online and are prone to these high-risk digital frauds. Biometric sign-in helps verify the identity of customers through facial biometrics that uniquely identifies the individuals. Innovative solutions ensure the security of the platform along with optimized customer experience at the same time.

Bio Authentication: Securing the future

There are emerging biometric methods but the most praised one is a facial recognition system that helps identify the facial biometrics of individuals within seconds. The technical solutions and algorithms in facial recognition technology are capable of detecting the spoofing elements in the user-captured live face photo. Fraudsters try to impersonate the system to get unauthorized access over others’ user accounts. They use photoshopped images, printed face photo, and other fraudulent methods. To fight back against such tricks of bad actors, innovative algorithms such as liveness detection and 3D depth perception, spoofing, and deep fakes detection. These methods help identify the spoofing elements to mitigate the risk of fraud.

Liveness Detection:

This feature in facial recognition technology ensures that at the time of verification, the user is physically present. Liveness is detected by identifying the minor facial movements of the user online. For example lip movement, blinking of an eye, face movement, etc. is identified. Using Artificial Intelligence algorithms and techniques, this feature in facial recognition helps mitigate the attacks of users through static facial images.

3D Depth Perception:

This feature identifies the photoshopped images in the photo. For example, the fraudsters who tamper the images and use various tricks to unlock online accounts. The 3D mask of the face is created and stored in the database at the time of account registration which is further used and the face is checked at each sign-in. These mentioned are some methods which need to be catered to deter the risks of frauds that happen online.


To conclude, biometric authentication or bio authentication technology identifies the unique biometric features that ultimately help verify the identity of individuals online. The algorithms of facial recognition technology have the potential of fighting against the risks and fraudulent attempts of users online to access the online user accounts. The technological advancement today has the capability of dealing with high-risk digital frauds. The need, therefore, is to be vigilant when it comes to adopting the security measures to protect online platforms from a variety of cyberattacks and online payment scams.

Tracy is a passionate writer to write about SEO, Business and Technology.

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