Our identity is becoming more crucial by the day as most traditional banking processes go online. From transactions to registrations and applications, several processes make use of our digital identity, stressing the need for identity verification to prove that individuals are actually who they claim to be. Interestingly, different online verification methods and other identity verification methods and systems are used today to achieve this.

The global identity verification market is estimated at around USD 14.82 billion in 2025, with a projected compound annual growth rate (CAGR) of about 13.1% from 2025 to 2032, expected to reach USD 35.08 billion by 2032. This growth is driven by the rising need for secure, seamless authentication in banking, e-commerce, healthcare, and government sectors.
 

Identity verification is a vital part of Know Your Customer (KYC) and Anti Money Laundering (AML) regulations. The specifics of these regulations differ from one country and jurisdiction to another. There are also regulatory bodies like the Financial Action Task Force (FATF) that establish and monitor global AML laws.
 

Businesses frequently ask, “What is the best identity verification method?” Although there is a wide array of user identity verification methods to choose from, the most commonly used include
 

  • Biometric verification
  • Knowledge-based authentication (KBA)
  • Database methods
  • Online verification
  • Two-factor authentication
  • Credit bureau-based authentication
     

1. Biometric verification

 

Biometrics verification involves identifying and authenticating individuals based on their physical attributes. The most commonly used authentication attributes include voice recognition, fingerprints, facial recognition, and iris and retina scanning. Biometric verification techniques are highly secure and convenient for the clients as they don't have to remember any passwords after the first time setup. 
 

However, the security level of biometric verification can be compromised when a criminal gains access to your biometric data. For example, your picture on social media or a voice recording. In the past, databases have been known to be bridged too, leading to stolen fingerprints. These personal data could be used to commit fraud. Businesses asking, “What are the best identity verification methods?” often place biometrics high on the list but must still combine it with other safeguards.
 

2. Knowledge-based authentication (KBA)

 

Knowledge-based authentication was one of the most popular types of identity verification in the 2000s. Essentially, it is designed to test the knowledge of a person through questions that are simple for that specific person to answer but difficult for others. A good example is the question, “What is the name of your favorite uncle?” Or what is your mother’s maiden name? 
 

For better security, KBA may include a time limit to answer the question. Although termed very secure over a decade ago, KBAs are becoming much easier to bypass due to the available social data. A Google or social media search might reveal the answers to KBA questions. Today, when businesses evaluate customer identity verification options, KBAs are rarely the primary choice.
 

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3. Database methods

 

In this method, data from individual IDs are cross-referenced against verified databases to establish their identity. The database method is usually used for identity verification and risk profiling based on the available data. It is also an automated process, making it fast and cost-effective and eliminating the need for manual reviews. 
 

However, the database methods don't have a way to actually verify that the person providing the ID is actually the owner. This is because the process is mostly carried out online, after which the individual will be granted permission to carry out the transaction. To strengthen this approach, many companies combine it with other user verification methods.
 

4. Online verification

 

Online verification is somewhat similar to database verification but goes a step further. It makes use of several techniques to validate government-issued IDs provided by an individual. Online verification could apply a series of techniques including artificial intelligence, and human and computer reviews for multi-stage validation. 
 

Typically, the individual is mandated to snap a headshot of themselves holding a valid ID. the process goes ahead to validate if the person holding the ID is the same person in the ID. Although secure, many users find the process stressful and this may cause drop-offs. However, it remains one of the most reliable online identity verification methods for verifying customer identity at scale.
 

5. Two-factor authentication or multi-factor authentication (2FA or MFA)


Much like a double-layered wall, two-factor authentication requires users to provide a code sent to their personal email or phone number after originally inputting their password. 2FA can also be used to verify a customer’s personal contact information (email and phone number) to ensure they don't submit wrong data. Two-factor authentication is also useful in creating user accounts and resetting passwords (if they forget).

 

Tokens are also very important in creating an MFA step before huge transactions are completed. This curbs fraud, as only the owner of the account should have access to the token or secret code required to validate the transaction. Organizations that focus on verifying customer identity often integrate MFA as a standard security measure.

  

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6. Credit bureau-based authentication

 

Credit bureau-based authentication operates similarly to the database method in that it relies on data from credit bureau databases. Credit bureaus store a huge amount of customer credit information, including their name, address, national identification number (NIN), bank verification number (BVN), and more. The bureau’s data could be used to validate a customer identity where needed. 

For businesses that need customer identity verification, this method is common because it leverages trusted third-party data sources. However, as fraud techniques evolve, it is rarely used alone and is often combined with other user verification methods.
 

Bottom Line

 

The different types of identity verification methods have their upsides and downsides. As a business, it is important that you adopt what works best for your business model and type of customer. However, financial institutions are encouraged to adopt the most secure, and in some cases, more than one identity verification method to curb money laundering activities. Ultimately, the question of what are the best identity verification methods depends on the balance between security, compliance, and user experience.
 

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