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How Does Identity Verification Help Fight Fraud?

Fingerprint scan on mobile phone

How does identity verification help fight fraud?

For organizations overseeing a high volume of digital transactions, identity verification plays a pivotal role in combating identity fraud. Identity verification better confirms the authenticity of individuals' identities, helping reduce fraud, enhance security, better protect customer data and privacy, and fosters increased trust between an organization and its customers.

 

Learn more about identity verification for your business

What is identity fraud?

Identity fraud occurs when an individual’s personal information is used to commit fraudulent activities without their permission. The main goal of identity fraud is to gain access to financial resources, obtain services or commit other forms of fraud. Identity fraud can take many forms, such as stealing someone’s personal information, creating synthetic identities by combining real and fake data, or taking over an existing account.

The consequences of identity fraud can be severe, including:

  • Significant financial cost
  • Regulatory penalties
  • Damaged credit scores
  • Reputational damage to both individuals and organizations
  • Loss of customer trust in in online systems
  • Erosion of trust between businesses and their customers

 

How does identity verification help protect an organization?

There are several key ways identity verification helps protect organizations:

Better prevents fraud

  • Reduces identity theft: Better verifies identities to help prevent account takeovers and unauthorized transactions
  • Earlier detection: Identifies fraud attempts at the initial contact point

Helps ensure regulatory compliance

  • Legal adherence: Better complies with regulations like know your customer (KYC), anti-money laundering (AML), and Global Data Protection Regulation (GDPR) to avoid penalties
  • Audit trails: Keeps detailed records for regulatory audits

Enhances security

  • Data protection: Restricts access to sensitive data to authorized individuals
  • Secure transactions: Adds a security layer to help prevent fraudulent transactions

Builds customer trust

  • Increases trust: Customers trust organizations with robust security measures
  • Improves user experiences: Streamlined verification processes enhance both security and customer satisfaction

Reduces financial losses

  • Decreases fraud costs: Helps prevent financial losses from fraud, chargebacks and regulatory fines
  • Operational savings: Reduces the need for manual reviews and investigations

Safeguards reputation

  • Maintains brand integrity: Better prevents negative publicity from security breaches
  • Fosters enhanced customer loyalty: Builds positive relationships and long-term trust

Supports risk management

  • Risk assessment: Helps assess customer and transaction risks
  • Mitigates insider threats: Helps verify employees and contractors to reduce internal risks

Facilitates digital transformation

  • Enables more secure services: Supports safer online banking, ecommerce and remote access
  • Adopts innovations: Allows more secure adoption of new technologies

Improves operational efficiency

  • Streamlines processes: Automates onboarding and authentication, reducing delays
  • Reduces errors: Ensures more accurate identity checks by lessening human errors

 

How does identity verification combat identity fraud?

Identity verification helps ensure individuals are who they claim to be, making it a powerful tool in the fight against identity fraud. The best way for organizations to better detect and reduce identity fraud is to employ a multilayered identity verification process. Deploying a set of advanced digital identity verification processes in a multilayered approach makes it significantly harder for fraudsters to bypass security measures. These processes include combining traditional identity verification with:

  • Device intelligence: Tracking and analyzing the historical behavior and characteristics of devices that interact with a network, allowing systems to better identify and block devices associated with fraudulent activities.
  • Database cross-referencing: Cross-referencing user information, including phone numbers and email addresses, with various databases from authoritative sources, such as mobile phone operators, government agencies and credit bureaus. These cross-checks help verify the accuracy of provided data and better ensure it matches existing records.
  • Document verification: Verifying the authenticity of government-issued IDs, such as passports and driver’s licenses, helps ensure the provided identity is legitimate. Advanced technologies like optical character recognition (OCR) and machine learning algorithms can detect signs of tampering or forgery.
  • Biometric identity verification: Biometric methods, such as fingerprint scanning, facial recognition and iris scanning, provide a higher level of security because they rely on unique physical characteristics. These traits are difficult to replicate, making it challenging for fraudsters to impersonate someone else.
  • Real-time analysis and machine learning: AI and machine learning algorithms analyze data in real time to detect patterns and anomalies that may indicate fraudulent activity. These technologies can quickly adapt to new fraud tactics, providing a more dynamic and robust defense against identity fraud.
  • Two-factor authentication (2FA) and multi-factor authentication (MFA): Implementing 2FA or MFA adds extra layers of security by requiring users to provide multiple forms of identification, such as a password, answers to a security question, security tokens sent to their mobile devices or email addresses, or biometrics. This method significantly reduces the risk of account takeover fraud.
  • Behavioral biometrics: This entails analyzing a user’s behaviors, such as typing patterns, mouse movements and navigation habits, to create a unique profile. Any deviation from this profile can trigger alerts, helping identify potential fraud.
  • Continuous monitoring: Continuous monitoring of accounts and transactions helps detect unusual activity that may indicate fraud. This proactive approach allows businesses to respond quickly and prevent further fraudulent actions.

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