Whether it’s a small shop or a multinational company, businesses must constantly have their guard up to protect against fraud. Installing security cameras, verifying dollar bills aren’t counterfeit, and hiring a security guard to prevent shoplifting can all help with physical fraud. But as commerce and banking continue to go online, digital security is critically important as well.
LexisNexis’ 2016 True Cost of Fraud study focuses on U.S. merchants. The study reveals businesses reported an increase in the cost of fraud as a percentage of annual revenue for the third year in a row.
On average, companies have dealt with nearly 650 fraudulent purchase attempts each month, and over 200 of those are successful. Increasingly, fraudulent purchases are coming from remote channels, either from mobile devices or other online methods.
Combating in-person, online, and mobile-transaction fraud can be an exhausting process, and several financial technology (FinTech) companies are working to help businesses outsmart thieves and win the fight.
Feedzai uses machine learning and big-data analysis to help companies prevent fraud while managing payment processing, opening new customers accounts, underwriting merchant accounts, securing marketplaces, and validating customers.
Feedzai claims its Fraud Prevention That Learns technology, which bases its decisions on historical and real-time behavioral profiling, can detect fraud up to 10 days earlier than the competition, and identify 61% more fraud with lower false alarms.
2. IdentityMind Global
IdentityMind Global has a platform that payment service providers, online merchants, and financial institutions can use to identify and prevent fraudulent purchases, botnets, phishing attempts, account takeovers, and other types of attacks in real time.
The platform also offers anti-money laundering (AML), know your customer (KYC), and other risk management services to companies, including Bitcoin exchanges and internet lenders.
InAuth is a risk management and fraud-detection and -prevention platform for the banking, payments, health care, e-commerce, and mobile commerce industries. Large companies can also use it to secure and identify employees’ devices and information.
InAuth’s InExchange service allows businesses from different industries to share positive and negative information about devices, helping companies determine whether or not the device has been linked to fraudulent activity in the past. InAuth also works to identify when devices are infected with malware or crimeware, and whether or not it’s a rooted or jailbroken device, potential signs of fraudulent use.
Available for merchants in the retail, travel, gaming, finance, telecom, and sharing economy industries, Jumio offers digital identification verification, mobile checkout, and form-filling software. Two of its three products can help prevent fraud.
Netverify helps authenticate potential customers by letting them take a picture of their photo ID and use their phone or computer to scan their face. The software verifies that the person matches the photo in the ID. BAM Checkout lets customers make mobile purchases by taking pictures of their credit or debit card and driver’s license. The software compares the names on the ID and card, and can help prevent fraud while creating an easy checkout process for customers. Jumio also has a third service, Fastfill, which allows customers to quickly fill in their information by snapping a picture of an ID card.
While Jumio filed chapter 11 bankruptcy in March 2016 due to some reported financial irregularities within the company, Jumio’s assets were acquired by Centana Growth Partners. Under this new umbrella, Jumio does seem to have steadied itself and raised an additional $15 million from Centana in August 2016.
iovation delivers device-based fraud prevention and authentication services to help prevent mobile and online fraud. The service automatically collects information about a device. This information is used to visit a company’s site and decide whether or not they should allow, deny, or conduct a manual review of a transaction. For example, iovation may notice a device was used to make over $1,200 of purchases in the previous 12 hours, check to see if a phone number is connected to more than three devices, and see if this purchase is coming from a high-risk location.
Using iovation’s fraud prevention service, companies can require suspicious users to go through additional identification protocol or prevent a transaction outright. They can also use iovationScore, a predictive risk score, to help them identify good and bad customers. As a result, they make a checkout experience smoother for good customers, by letting them skip a security check, for example. The scoring system uses real-time machine learning to monitor billions of transactions globally and increase its predictive capabilities.
BioCatch has created cloud-based technology that builds user profiles based on over 500 cognitive parameters, including behavioral patterns. By learning what it looks like when fraudsters create accounts, purchase products, or browse websites, BioCatch can help detect and stop future potential frauds. BioCatch can also help detect when someone takes over a legitimate account by comparing a user’s normal behaviors, including typing speed or cursor movement, to behaviors during the fraudulent session.
Canadian startup, Trulioo, uses data from over 140 sources to collect and share information on over 3 billion people, making it one of the largest consumer data companies in the world. E-commerce stores can use Trulioo to verify new customers, reducing the risk of fraudulent purchases and subsequent chargebacks. Financial institutions can use Trulioo’s data to help them meet AML and KYC identity verification requirements.