You've invested in both technology and personnel to optimize call center services and increase customer satisfaction. In fact, your agents are more service oriented than ever, using all the tools at their disposal to resolve issues quickly and efficiently on the first call. Fraudsters know this. That is why call centers are a prime target for fraudulent activity. Criminals use social engineering methods to dupe helpful agents who are focused on resolving customer issues efficiently and not on filtering out fraudulent callers.
Statistics show that contact centers worldwide field more than 100 billion calls every month, and 1 in 1,700 calls is a fraud attempt. Today's businesses are fighting 3 main types of call center fraud:
Call Center Fraud Prevention – Has it Changed?
Enterprises have been fighting fraud for years. With new technology advances, has the fraud problem changed significantly? The answer is definitely YES! Because fraudsters don't quit. They adapt. As soon as one attack vector is shut down, they find another way to get in.
For example, when EMV technology made it harder for fraudsters to counterfeit physical credit cards, they turned to the call center to make purchases over the phone. And it started the minute the chip-based cards were issued. Europay, MasterCard, and Visa reported that in 2015, one in every 2,000 calls was fraudulent. By 2016, fraudulent calls increased to one in 937!
Since then, criminals have graduated from leveraging stolen credit cards to leveraging stolen credentials and personal data to take over legitimate accounts. With stolen credentials, criminals turn to the call center (often using untraceable VoIP software) to perpetrate their ATO schemes. According to
Javelin Strategy & Research, in 2016, victims spent 20.7 million hours resolving ATOs. The impact on customer trust and brand image can be staggering, not to mention the billions of dollars collectively lost by victims and companies.
What's an Enterprise to Do?
The standard authentication process that uses knowledge-based security questions does not work well enough to stop today's fraudsters. With loads of personal data on social media and other online sources, criminals can easily tap into this readily available information to get past the authentication hurdle. Moreover, in self-service channels, users are frequently frustrated by security questions and denied access because they don't remember if they spelled their answer with or without capital letters/spaces/etc. When authentication data is not shared across channels, it only adds to the frustration. So customers call for help, which often requires them to change their credentials. Agents are used to these change requests and eager to assist, rather than seeing them as a fraud attempt.
How can call centers verify that the callers are truly who they say they are? By using unique identifiers that can't be stolen or counterfeited. This is where biometric authentication methods, such as voice biometrics come into play.
Leveraging Technology
Even though most people are aware of identity theft and fraud, customers do not want to undergo excessive interrogation before they can accomplish the simplest transactions in their own account. Likewise, call center agents want to focus on taking care of customer needs and providing good customer experiences, not on screening for fraud. Yet it is absolutely essential for companies to verify that the person they are talking to is indeed the person they
want to be talking to.
That is why smart enterprises are harnessing technology to assure foolproof authentication and to flag the signals of fraudulent behavior. Advancements in artificial intelligence, machine learning, voice biometrics, and omnichannel management have come together in modern platforms to enable real time authentication and fraud detection with astonishing accuracy.
Call Center Fraud Prevention is Better with Voice Biometrics
Your voice cannot be stolen. Your voiceprint is uniquely yours.
Voice biometrics technology, which identifies a person by their unique vocal attributes, can be used to authenticate a caller in real-time, without any effort from the caller. Voice biometrics offer compelling advantages over agent training and data-base security questions.
First, voice biometrics add a layer of security that's hard to compromise since every person's voiceprint is unique and impossible to forge. Fraudsters tend to take the easiest route to the money, not the hardest.
Second, the same voiceprint can be used to authenticate a customer across any channel. As enterprises transition to omnichannel customer service, voice biometrics can help to assure seamless customer journeys.
Third, voice biometrics automates the process and takes agents out of the authentication loop so they are no longer privy to personal information or access credentials. While none of us like to consider the risk of internal fraud, it is a common component of data breaches. It also frees up the agent to focus on giving good service, rather than checking for fraud.
Last but hardly least, voice biometrics pulls double duty for call center fraud prevention. Just as a voiceprint uniquely identifies a legitimate user, it can do the same for a fraudster. When fraudsters are caught, so is their recorded voice. These voiceprints can then be used to detect any future attempt by the same criminal and block it. Statistics show that 70% of call center frauds are committed by repeat performers.
NICE Real-Time Authentication Solutions
NICE Real-Time Authentication (RTA) provides end-to-end authentication and fraud prevention for call centers based on voice biometrics. NICE RTA automatically verifies the caller's claimed identity within the first few seconds of a call through natural conversation with an agent.
NICE's unique
Single Voiceprint capability uses the same customer voiceprint across all channels, which eliminates the need to actively enroll and also accelerates enrollment rates.
Moreover, our patented
Seamless Passive Enrollment™ technology leverages existing call recordings to enroll millions of consumers based on their previous calls to the contact center, without requiring them to call in again.
NICE RTA also provides
Proactive Fraudster Exposure to reduce fraud losses from day one. NICE uses machine learning to automatically detect abnormal caller behavior and block previously unknown fraudsters before they can perpetrate a fraud. Suspects are further investigated and if justified, their voiceprint is added to a watch list automatically, eliminating manual follow-up.
With NICE RTA, organizations can take a smarter approach to call center fraud prevention, and effectively stop the debilitating financial loss caused by tireless fraudsters, while making it easier for customers to interact with their brand.
