Call Center Fraud

$0.57

per inbound phone call is lost to fraud on average for a financial institution

70%

of legitimate callers successfully authenticate using knowledge-based authentication

30%

of fraudulent callers successfully authenticate themselves using knowledge-based authentication

Performance

Controls are Key, Analytics is Essential

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On average, 5% of call center agents have been intentional participants in some form of insider fraud.  What was formerly known as mail order/telephone order (MOTO) fraud now manifests as call center-based chargebacks and other fraud schemes.

Currently, voice recognition systems are expensive and mostly implemented at certain banks and financial services companies. Agent-assisted automation technology is also available for call centers that allow customers to enter payment data directly into a customer relationship management (CRM) system without any agent involvement. And then there are the remaining 90% of companies.

Products to Ensure Trust and Beat Fraud
at Every Step of the Customer Lifecycle

Choose one or combine them for even stronger protection.

Application AI™

Authenticate all types of applications

Transaction AI™

Stay ahead of fraudsters with real-time fraud and AML monitoring

Login AI™

Guard against account takeovers

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Account AI™

Take a comprehensive approach to fraud and risk management

Device AI™

Keep close tabs on your website traffic

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Email AI™

Gain control of your inbox

Intentional and Unintentional Assists

With 8 billion identity records having been breached, fraudsters making contact through a call center have many tools available to use to execute any one of dozens of schemes.  The average call center-based fraud exceeds $500 per transaction, and there is very little recourse if caught.  Fraudsters employ a wide variety of social engineering, intimidation, and obfuscation to achieve their purpose and are usually equipped with common knowledge-based authentication data.  When legitimate customers  are challenged with KBA questions (i.e. ‘What is your mother’s maiden name?’)  approximately 70% get it right, but fraudsters also get it right more than 30% of the time.

Employ new forms of multi-factor authentication, advanced analytics, and machine learning to significantly reduce your call center-based fraud.

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The Power of Getting Identity Right

Organizations are challenged on many fronts in their efforts to protect their customers and their businesses against fraud. The increasing growth and complexity of digital commerce leaves merchants and financial services firms vulnerable to cybercriminals and requires that organizations continue to innovate their security and anti-fraud policies across all digital channels.

But once your organization can accurately confirm the identity of your new website visitor, applicant or customer, the virtuous cycle begins. Use Fraud.net’s Identity Services to identify and remove the <1% of fraudulent and high-risk users so that you can focus on thrilling the >99% of high-trust customers.

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