Businesses are adopting and incorporating technological innovation to uplift their reputation and provide an enhanced experience to customers. Similarly, criminals use advanced software like photoshop, deepfake, and voice change apps to bypass digital customer verification as well as hide their identities on the go. Therefore, businesses require accurate biometric screening of customers.
Automated biometric recognition in place will allow businesses to verify customers by scanning their behavioral and biological characteristics. These are hard to replicate as every customer has distinct and unique features. The AI-powered verification tools scan retina, facial traits, DNA, and fingerprints. So much so that they carry out voice recognition and liveness detection for further security. Further insights are included in this blog next on.
Biometric Security System – Two Types of Verification Checks
Keeping in view the increasing cases of identity theft, money laundering, and other criminal threats, regulatory authorities are revamping more strict regulations. Due to these, a US-based company faced a massive loss of over $10 million because of deep fake attempts. Therefore, according to Shufti Pro News, businesses need robust and accurate systems to collect and analyze customers’ information.
Here, AI-powered biometric user authentication helps businesses to stay complainant as well as secure their operations from fraudulent attempts. Furthermore, these services allow businesses to access global databases to verify global customers. Biometric technology benefits businesses in numerous ways because it is cost-effective, involves less time, and is user-friendly. The biometric scans are further classified into two categories, explained next.
- Verification on the Basis of Biological Characteristics
Biological characteristics scan is an important part of the biometric security system. Where criminals may succeed to camouflage the background, they can not create a fake iris or DNA. Biological biometrics analyzes the unique characteristics of a human body including facial traits, fingerprints, vein patterns, iris, and DNA. It further involves the following checks:
- Facial Features
Facial recognition is a rapidly growing technology in the identity verification world. Mobile and other digital gadget manufacturers are using this technology to ease up the unlock and log-in process. Similarly, businesses can incorporate this technology to verify customers in real-time. Here the customers upload a selfie and the system maps it by using mathematical algorithms. Afterward, the system matches it within documents and across global databases.
- Retinal and Iris
Retina and iris are the unique and complex parts of the human eye. Where criminals can forge documents, they can not replicate the eye parts. The biometric user authentication tools use AI technology to scan the retina and verify customers. This way businesses can restrict criminals from registering.
- DNA
DNA scans refer to the analyses of genetic sequences. This is the most reliable verification method. The system cross-verifies the provided DNA of customers with the one in healthcare databases.
- Fingerprint
Regulatory authorities are using fingerprint verification for years. Law enforcement agencies were using this technology to verify and keep track of criminals. However, it underwent an evolution and is now seen everywhere from devices to identity verification. The AI-backed biometric recognition has made identity verification a lot easier and businesses can verify customers in minimal time.
Verification on the Basis of Behavioural Traits
Behavioral biometric recognition refers to the analysis of customers’ actions, and how they perform activities. Every customer has uniqueness in the ways they behave which is why it is easier to verify them.
Furthermore, the AI and ML-driven services have made the process a lot more seamless by providing verification through live calls or real-time selfies. As Shufti Pro Funding indicates, this is the reason, why the biometric recognition industry is rapidly growing. Also, it further offers various checks, discussed next:
Liveness Detection
Businesses are widely accepting liveness detection for the customer verification process. This type of biometric identity verification analyzes the background and surrounding to ensure the customer is not camouflaging any of them. In the process, the system asks for a real-time selfie or video and then scans it for accurate verification.
Voice Recognition
Voice recognition is another AI-powered verification tool that analyses the speech, pitch, and of customers. The voice recognition technology is considered authentic and accurate. This is because it is hard to fake and the digital verification services identify the changes in minimal time.
Handwriting Examination
This type of biometrics analyzes the handwriting of customers. It scans the way a customer writes or signs a document. The system here asks the customers to upload documents with their signatures that are extracted by OCR and analyzed by the verification tools within databases. This way biometric handwriting analyses provide extra security to the customer verification process.
In Conclusion
Criminals are coming up with new technologies and methods to dodge the customer verification process and illegitimately onboard the platforms. However, with accurate and robust biometric screening in place, businesses can guard their operations and customer registration process.
