Confidential identity verification is an essential component of any KYC program. It helps companies meet anti-money laundering and know your customer (KYC) regulations to prevent fraud and protect data security.
There are different levels of verification depending on what level of 사람찾기흥신소 assurance is needed. The best way to verify someone is through something they have, like a photo ID or passport, but knowledge-based verification can also be helpful when used in conjunction with password resets.
ID Document Verification
In many cases, a high level of ID verification is required. For activities like claiming social security benefits, filing taxes online, or accessing sensitive government platforms, stringent checks are required to affirm that the person on record is who they say they are.
This type of verification primarily relies on comparing information in ID documents against records stored in databases. To check authenticity, the document’s image is analyzed and any visible security features (like watermarks or holograms) are detected. Font usage and consistency are also analyzed. Fonts are compared for size, positioning, and overall appearance to templates and rounded corners are inspected to verify that the document is not photoshopped or fake.
This type of ID verification is often a requirement to meet regulations for KYC and AML compliance, such as age verification for age-restricted purchases. For a seamless onboarding experience, a solution that can automate the document check process while maintaining accuracy and fraud prediction performance is essential.
Facial Comparison
Facial biometrics technology captures and compares an individual’s facial features to determine identity. This process transforms analog information (a face) into digital information, analyzing unique characteristics like contours and landmarks to create a mathematical representation known as a face template. Machine learning technologies then analyze the facial template to verify whether the captured image is a match to the photo presented during ID document verification or not.
This technology is often used in conjunction with document ID verification for an added layer of security. This is commonly seen in e-gates at airports and other travel facilities where facial comparison is combined with ID document verification to confirm that the person trying to pass through is actually the owner of the passport or other valid form of identification being used to gain access.
This approach has the benefit of providing a touchless, frictionless user experience while still being effective for identity verification in high-risk environments. It also provides a strong foundation for Know Your Customer (KYC) compliance, ensuring that only genuine customers are being onboarded.
Two-Factor Authentication
Two-factor authentication (or 2FA) adds a second level of validation to a login attempt. It combines something the user has, such as a password or token, with something the user is—like a facial image or fingerprint scan. Using biometrics is an increasingly popular method of 2FA.
This adds a layer of security that is difficult for hackers to bypass. This is especially important in industries handling confidential data, like banking or healthcare, where account takeover is a significant risk.
2FA is also used to prevent phishing attacks and protect against malware-laden email attachments. In addition, it blocks attempts to steal a user’s login credentials through open wifi networks or man-in-the-middle attacks. When combined with identity verification services, like Persona, a trusted identity infrastructure becomes an effective barrier against cyberattacks and reduces the risk of data breaches.
Biometrics
In a world that relies on technology, data breaches are becoming all too common. Unlike passwords, which can be lost or stolen, biometric modalities like fingerprint, face, and eye scans are unique to each individual. And because they rely on physical traits that can’t be compromised, these methods of authentication are ideal for businesses looking to strengthen their security.
The quality of a biometric sample, captured at the enrolment stage, has a major impact on its effectiveness. It is also vital to have a fallback process in place to ensure that identity verification or authentication can still take place, if the system is not able to recognise a person for any reason.
Taking these principles into account will help organisations design robust biometric systems that their users can trust. However, it is important to note that biometric information essentially falls under IPP 1.1 of the Privacy Act, which states that personal data should only be collected where necessary for the fulfilment of an organisation’s function.