Learn about biometric verification and why your business needs to use it to keep fraudsters away.
Nowadays, computers, smartphones and wearables have built-in facial identification features (like FaceID or fingerprint recognition). This means that almost anyone can now verify their identity in a matter of seconds. So, thanks to biometrics, the world of identity verification is undergoing a revolutionary transformation.
Moreover, biometric verification is considered to be one of the most secure methods of verifying user identity. This is due to its high level of accuracy and ability to ensure the verified person’s presence.
Still, the challenge of fraud is mounting. According to Cybersecurity Ventures, global cybercrime will amount to 10.5 trillion USD per year by 2025. Therefore, it’s crucial for businesses to verify user identities accurately—and biometric technologies are answering the call. According to Statista, the global biometric authentication and identification market is expected to reach almost 100 billion USD by 2027.
So, what exactly are biometrics and how do they influence KYC (know your customer) and AML (anti-money laundering)?
Biometric verification is the process of identifying a person by assessing one or more of their unique physical characteristics (e.g. fingerprints, iris or retina, voice, face).
Biometrics are used as a form of identification everywhere, from transactions to security because of its full-proof advantages. Biometrics are preferable to passwords because they’re easier to use and provide greater privacy and security. Reliable biometric solutions, such as Liveness Detection, also ensure that the individuals providing their identity document and biometric data are real people who are present during verification.
Biometric verification is the process of cross-referencing a person’s biometrics with their identity document (i.e. passport). Biometric verification is usually conducted during onboarding (registering for a service for the first time).
Biometric authentication is the process of validating a person’s biometrics using data previously collected during the biometric verification process. Biometric authentication is used when clients reuse a service they’ve already registered for.
*These terms are often used interchangeably, however.
Biometrics are roughly split into two categories of identifiers: physical and behavioral.
Physical identifiers are fixed human characteristics, such as:
Behavioral identifiers are patterns in the ways that individuals perform particular tasks—patterns in walking, speaking, etc.
Behavioral identifiers in biometric verification are new to the public and are usually combined with other methods of authentication. The advantage of behavioral identifiers is that they are highly customizable, and can be adjusted to the preferences of your business. For example, companies can use:
There are two types of biometric verification systems, depending on where data is stored:
During onboarding, a sample of the client’s biometrics (i.e. fingerprint or voice) is saved in a database. When the client wants to access the system, this sample is used as a reference for biometric authentication. If the new record matches the one in the database, then authentication is successful. To make biometric data more accessible and portable, it’s saved in the cloud. Cloud technologies are already widely used, and their security has substantially improved over the years.
When it comes to fooling facial biometrics, the oldest trick in the book is to wear a mask. Criminals use silicone masks, printed photographs of other people, or even life-size mannequins to access someone’s account. This kind of fraud is known as face spoofing.
The second method is a bit more advanced. It involves fraudsters hacking into cameras and injecting pre-recorded videos or hacking the server itself and editing uploaded biometric data. This method is referred to as bypassing.
Check out this article to learn about the other tricks fraudsters use, and how we can protect ourselves from them: Masks, Animated Pictures, Deepfakes…—Learn How Fraudsters Can Bypass Your Facial Biometrics
Biometrics are considered to be one of the most accurate and reliable authentication methods. They’re much more accurate and secure than using passwords and 2-factor authentication.
By collecting an individual’s fingerprints, voice, and facial characteristics for future reference, lots of time and costs can be saved on verification. At the same time, companies have to be aware of the way they distribute such sensitive information and learn to protect it.
Therefore, it’s critical that reliable biometric verification solutions are used, such as advanced Liveness technology.
Liveness detection analyzes a person’s biometric data using machine-learning algorithms. Most often, it’s associated with facial biometrics, but it can combine more than one biometric check.
Thanks to machine learning, this technology can detect a person’s biometrics and presence during verification with over 99% accuracy, detecting deepfakes, inserted videos, 3D masks, and other presentation attacks through image-processing, face-mapping and motion detection.
Liveness can be used in many ways, from payment fraud prevention to confirmation of risky user actions, such as cash withdrawals. One of the most important uses of Liveness is conducting the “Know Your Customer” (KYC) procedure as part of anti-money laundering (AML) compliance.
Today KYC and AML regulations demand a high level of confidence in the security measures businesses use, which is why biometric Liveness detection is part of almost every identity verification solution on the market.
Biometric verification identifies a person by assessing their individual characteristics ( fingerprints, iris or retina patterns, voice, face, etc.).
There are physical and behavioral identifiers. Physical identifiers include:
A biometric identification system verifies the identity of customers by using their unique biometric characteristics (like fingerprints, earshape, voice, etc.)
Biometric authentication is the process of validating a person against their biometric data, which were already saved during the verification process. Unlike biometric verification, which is done during onboarding, biometric authentication is used when a client is already registered to use the service.
There are different types of biometric technologies on the market. The most popular include fingerprint identification and voice recognition, etc.
Biometric authentication is considered to be extremely reliable and more secure than passwords. Certified biometric solutions ensure that the individual presenting their biometrics is a real person and that they are present during the verification.
Fraudsters attempt to use various methods to fool biometrics—from phishing to deepfakes. However, it is almost inconceivable to trick an advanced biometric system, such as a liveness detection technology.