What is identity verification and how does it work?

A customer’s first interaction with your business is also the moment where there is the highest risk of fraud.

You need to know that the person opening an account or accessing a service is who they claim to be – but ask too many questions, and they may give up on onboarding at all.

At the same time, fraudsters are finding new ways to bypass traditional verification checks using stolen or synthetic identities and AI-generated deepfakes. To keep up, you need identity verification processes that are both secure and frictionless.

Many businesses are turning to end-to-end identity verification providers to verify customers, reduce their fraud risk, and meet regulatory compliance requirements through a single, connected process. 

In this article, we’ll cover:

• What is digital identity verification, and how does it work?
• How data, documents and biometrics help with identity verification
• How to choose an identity verification provider
• Why partner with us for identity verification

Ready to optimize your digital identity verification process? Book a demo to discover how GBG Go, our end-to-end identity verification solution, can help

What is digital identity verification, and how does it work?

Digital identity verification is the process of confirming that a person is who they claim to be in an online or remote environment. Businesses use it to establish trust during situations like customer onboarding and account creation. 

Rather than relying on a single check, modern identity verification combines multiple signals to build confidence that an identity is genuine and belongs to the person presenting it. Common verification signals include:

• Personal identity data: Information such as customer name, address, date of birth and in some markets a social security number, is checked against trusted data sources to confirm the identity exists and the details are consistent
• Government-issued identification documents: Documents such as passports, driver's licenses, and national ID cards are analyzed for authenticity and tampering
• Biometric verification: Face matching and liveness detection confirm that the person presenting the identity is the rightful owner of the document and is physically present during the verification process
• Mobile phone and email intelligence: Evaluates factors such as ownership, age, reputation and potential fraud indicators associated with contact information
• Device and behavioral signals: Identifies suspicious activity by analyzing device characteristics, usage patterns and user behavior
• Location intelligence: Validates addresses and identifies geographic inconsistencies that may indicate elevated fraud risk
• Fraud and risk databases: Checks identities against fraud intelligence networks and watchlists to detect suspicious activity or known fraudulent behavior

Many regulated industries must verify customer identities as part of Know Your Customer (KYC), Anti-Money Laundering (AML), Customer Due Diligence (CDD) and age verification requirements. 

Banking, crypto and gaming are the obvious examples, but the same obligations increasingly apply in healthcare, where patient portals and telemedicine handle sensitive records and in government services, where agencies verify citizens before granting access to benefits.

Identity verification creates an audit trail of verification checks and decisions, providing evidence that you took reasonable steps to verify customer identities and comply with these requirements.

A typical identity verification workflow may look like this:

1. Customer submits personal information
2. Information is checked against trusted data sources
3. Customer uploads an identity document, such as a passport or photo ID
4. Document authenticity is validated
5. Customer completes a biometric selfie check
6. Facial biometrics and liveness detection confirm ownership of the document
7. Additional fraud and risk signals are analyzed, such as whether the email address was recently created or linked to previous fraudulent activity
8. Automated decisioning approves, rejects, or routes the application for review

Identity verification plays a critical role in fighting fraud, such as:  

• Identity theft
• Synthetic identity fraud
• Account takeover
• First-party fraud
• Bonus abuse
• Mule account creation

How data, documents and biometrics help with identity verification

Identity verification and identity authentication work together but serve different purposes. 

Identity verification confirms that an identity is legitimate by validating customer information against trusted sources, while identity authentication confirms that the person using that identity is its rightful owner, both during onboarding and throughout the customer lifecycle.

How data and documents help with identity verification 

A common approach is 2+2 verification, which confirms a customer's identity by matching at least two independent pieces of identity information against at least two trusted data sources. Frequently used as part of KYC and customer onboarding processes, 2+2 verification provides strong evidence that an identity exists and is associated with a real individual.

The first component of this process is data verification. A customer submits their information, and it’s compared against trusted global and local data sources to determine whether the details are consistent and can be independently verified.

The second part is document verification. Customers upload a government-issued identity document and verification technology: 

• Analyzes the document's security features
• Checks for signs of tampering or alteration
• Validates expiration dates
• Reviews machine-readable zones
• Confirms the information contained within the document is consistent

The extracted document data is then compared against the information the customer originally submitted.

For example, a customer applying for a digital bank account may provide their name, address, and date of birth. Data verification checks confirm that those details exist across trusted records. Then the customer uploads a passport, which is analyzed to verify that it’s authentic and hasn’t been altered. When the identity data and document checks align, you can make a high-confidence decision that the identity is legitimate.

Combining data and documentation verification provides stronger assurance than either method alone and creates a more robust audit trail for compliance.

How biometric checks help authenticate identity

Biometric authentication provides an additional layer of assurance by using unique physical characteristics that are difficult to steal or replicate. Common biometric authentication methods include: 

• Facial recognition
• Selfie verification
• Liveness detection
• Fingerprint recognition
• Voice recognition

Biometric authentication typically begins with a user capturing a selfie. Facial recognition technology compares the image against a trusted source, such as a government-issued ID, while liveness detection helps confirm that a real person is present rather than a photo, video or mask. Based on the results, the system determines whether the identity can be trusted.

Biometrics are often used alongside other authentication methods to strengthen security. For example, they may be used as part of multi-factor authentication (MFA) or step-up verification when a login or transaction presents a higher level of risk.

For instance, a banking customer may attempt to initiate a high-value transfer. Because the transaction carries greater risk than everyday account activity, the bank may trigger step-up authentication and prompt the customer to complete a facial biometric check. This helps prevent unauthorized transactions before funds are released.

How to choose an identity verification provider

Here are five things to consider when evaluating providers:

1. Does the provider offer the global coverage and data breadth you need? Look for the ability to verify customers in multiple countries, access to trusted local and global data sources, support for regional compliance requirements, coverage of identity documents worldwide and scalability. 
2. Does it offer layered verification capabilities? A strong solution should combine multiple methods, including: 

• Data verification
• Document verification
• Biometrics
• Fraud detection
• Risk intelligence
• AML screening
• Ongoing monitoring

1. Can you easily customize verification journeys based on risk? Look for identity orchestration capabilities that allow you to create flexible workflows, use no-code or low-code tools, apply dynamic routing and waterfall logic and integrate verification into your existing systems.
2. Does it offer advanced fraud prevention capabilities? Consider whether the solution can help detect emerging threats such as deepfakes and synthetic identities, while using signals like email, mobile, device intelligence, and behavioral analytics to identify suspicious activity.
3. Will the provider help you create a seamless customer experience? The solution should support fast, mobile-first onboarding experiences that minimize customer abandonment.

Why partner with GBG for digital identity verification

The best identity verification solutions do more than just confirm identities: they help you make faster, more accurate decisions without letting fraudsters slip through the cracks. 

With more than 30 years of experience in identity verification and fraud prevention, we help organizations create onboarding and authentication journeys that balance security with customer experience. 

Here are three reasons companies including IBM, Lottoland and Nike choose to work with us: 

Verify identities in 195 countries with comprehensive data, 8,500+ documents and biometrics

Strong identity decisions require more than a single verification method. We combine identity data verification, document verification and biometric authentication in our end-to-end platform, GBG Go. 

Within the platform, you can verify customers in 195 countries against hundreds of data sources, validate more than 8,500 government-issued identity documents, and use biometric verification and liveness detection to confirm the person presenting an identity document is the rightful owner and is physically present during verification.

 

Our document verification technology analyzes more than 50 forensic indicators to identify potential fraud signals like tampering or alteration within seconds. 

For additional assurance the document belongs to the person completing the onboarding process, our facial matching algorithms compare the photo on the document with a customer-captured selfie, analyzing 68 biometric facial landmarks to determine whether the two images belong to the same person.

Build risk-optimized onboarding journeys to reduce friction for genuine customers

Not every customer presents the same level of risk, and treating every application the same can create unnecessary friction for genuine customers. 

With our platform, you’re able to create risk-based verification journeys that adapt based on customer risk signals, geography, product type, regulatory requirements and fraud indicators. Instead of relying on rigid, one-size-fits-all workflows, you can use dynamic orchestration and automated decisioning to determine which verification steps are appropriate for each customer and move them through the process.

For example, a lower-risk customer may be approved through identity data verification alone, while a higher-risk applicant may be prompted to complete additional checks, such as document verification, biometric authentication or AML screening.

 

Using our no-code, drag-and-drop workflow builder, you can configure verification workflows, automate approval and review decisions and quickly adjust onboarding journeys as fraud threats and compliance requirements evolve. 

Detect fraud earlier with advanced identity and risk intelligence

Fraudsters are no longer relying only on stolen identities or fake documents: they’re using synthetic identities and AI-generated deepfakes to bypass traditional verification controls.

To help identify these threats earlier, with our platform you combine identity verification with additional fraud intelligence signals, such as device behavior and contact information reputation, that provide broader context around customer risk. 

These signals can reveal potential risks like newly created email addresses, suspicious device activity, mismatched locations or identity attributes connected to fraudulent behavior.

 

You can access: 

• Mobile intelligence to evaluate phone number validity, ownership and risk indicators
• Email intelligence to assess email age, reputation and potential fraud signals
• Device intelligence to identify suspicious devices, emulators and high-risk activity patterns
• Location intelligence to validate addresses in 250 countries and territories and identify geographic inconsistencies that may indicate elevated fraud risk

In addition, our GBG Trust network leverages millions of identity insights across industries to identify suspicious patterns, detect data anomalies and support real-time fraud decisions with a 96% identity fraud detection accuracy.

How a consumer finance provider achieved a 30:1 return from identity verification and fraud prevention

A consumer finance client wanted to strengthen fraud protection without adding friction to its customer onboarding process. The client’s single-source identity verification point solution wasn’t examining customer information for additional risk signals that are often associated with fraudulent activity. 

To address this issue, the client implemented our identity data verification solution and as an additional step, it also introduced our fraud risk signals. 

This allowed customer email addresses and mobile phone numbers to be assessed for factors such as validity, deliverability and signs of inactivity to help confirm whether or not the individual could be contacted through the information provided. 

Mobile numbers were further analyzed for fraud-related risk indicators, including whether the line was prepaid or postpaid, how long the account had been active, its current status (such as suspended, deactivated or associated with a lost or stolen device) and recent activity linked to the device, including SIM swaps and number porting events. 

As a result, the client significantly increased its identity verification and fraud prevention ROI from 8:1 to 30:1.

Read the full case study: GBG success story with consumer finance brand

 

Strengthen onboarding outcomes and fraud prevention with end-to-end identity verification

Every onboarding decision has consequences. Approve the wrong customer, and you increase your exposure to fraud. Create too much friction, and you risk losing genuine customers before they ever complete onboarding.

The organizations that get it right aren't choosing between security and customer experience – they're using identity verification to strengthen both. By making faster, more informed decisions about who to trust, you can accelerate onboarding and improve operational efficiency and conversion rates. 

Discover how we can help you create an identity verification strategy that supports your business goals while protecting you from evolving fraud threats. Book a demo today.

 

 

FAQs: Identity verification

How does identity verification prevent fraud?

It helps detect stolen identities, synthetic identities, fake documents, deepfakes, account takeover attempts and other forms of identity-related fraud before an account or customer is approved.

How can I reduce onboarding friction while maintaining compliance?

By using risk-based identity verification workflows that apply the appropriate level of verification based on customer risk, you can streamline onboarding while satisfying compliance obligations.

What should I look for in an identity verification provider?

Global coverage, access to authoritative data sources, document and biometric verification capabilities, fraud intelligence, orchestration capabilities, regulatory expertise and proven scalability are all important considerations.