Podcast alert! Honey Badger CEO Matthew Salisbury recently joined the wonderful Bradley Chalupski of Merchant Fraud Journal on the To Catch a Fraudster Podcast.
Matt and Bradley discussed everything – from how Honey Badger’s founding team first got started fighting fraud, to how Geo Authentication has emerged as an additional security layer. Listen now ⬇️
Honey Badger HQ
Stop fraud and improve customer experience during account servicing by eliminating SMS One Time Passwords (OTP). Instead, leverage phone based SIM authentication which involves comparing data generated by the Mobile Network Operator (MNO) with mobile device session data. This provides a foolproof way of proving that an individual is in possession of their two-factor device.
This new approach to authentication isn’t susceptible to SIM swap attacks and doesn’t require the user to enter a password. Ultimately, account takeover attacks are blocked, while customer experience is improved and the time taken to service a request us reduced.
Contact Data Cleansing verifies that the contact and personal information you hold isn’t out of date or inaccurate. Data is compared against the information held on file by Mobile Network Operators (MNOs). Whether processing a single record or sanitising thousands of records in batch, you’ll quickly identify bad data.
The case for maintaining up-to-date records goes way beyond good practice for compliance and regulatory reasons. It’s critical to ensuring customers are contactable. Furthermore, it reduces security threats by ensuring communications aren’t sent to the incorrect individuals.
SIM Swap Detection is a critical step in stopping account takeover. Why? Because account takeover attacks commonly exploit the ease of which a phone number can be stolen by simply assigning it to a new SIM. This allows bad actors to intercept communications, such as SMS one-time-passwords (OTP), which are used by 93% of enterprises worldwide to verify customers.
SIM Swap Detection instantly and silently checks the history of a SIM card to see when it was last swapped. Recent swaps indicate high risk of fraud, allowing you to take appropriate action, such as failing verification or requesting additional security procedures are followed.
Social Trace significantly reduces the risk of losing contact with your customers by diversifying communication channels. Simply drop the Social Trace widget into your onboarding workflow and allow customers to connect one or more social channels with just a click.
Lenders who capture social channels are significantly less likely to lose contact with their customers. Why? Because different demographics prefer to engage over different channels. This is particularly important when it comes to collections. Initiating contact over different channels increases your chances of getting a response, which in turn increases the likelihood of resolving late or non payment.
Mobile Fraud Check allow you detect fraud indicators using data provided by Mobile Network Operators (MNOs). Key checks include device overseas, call forwarding, SIM swap, a high risk number database lookup and much more.
Furthermore, Mobile Fraud KYC allows you to verify a person’s firstname, lastname, date of birth and postcode against the data held on file by MNOs. Since MNOs conduct their own KYC checks on new customers, it gives you the ability to match personal information you collect against a trusted and verified source.
Mobile Fraud Checks happen instantly and with zero customer friction. The data held by MNOs is often more recent and reliable than other data sources and a level of granularity is provided, allowing you to see how many and which KYC fields matched.
Mobile Data for Credit Risk delivers the data required to predict credit risk based on a persons mobile phone information. Key data attributes include the network provider, line type, and KYC match information. Working in partnership with lenders we’ve been able to clearly identify correlations between this data and the likelihood of a loan going into arrears.
Open Banking Vs Mobile Data. Which is the most effective in predicting bad borrowers? A recent project with a UK lender compared a risk model built with Open Banking against a model built with Honey Badger’s Mobile Data. The results showed that both models outputted almost identical risk scores. The difference? Mobile Data could be deployed immediately with no customer friction required to calculate a risk score.
PAY PER LOOKUP
Geo Authentication™ provides frictionless identity verification that reduces abandonment rates. Users simply select images that they recognise from nearby to their address. In built anti-fraud controls ensure that valid users can complete the challenge whilst bad actors are blocked.
Leading lenders such as Amplifi Capital use Geo Authentication during applications as an alternative to more intrusive identity verification checks, such as document uploads, that cause high friction and lead to increased dropouts. Completion rates with Geo Authentication are 28% higher and have subsequently helped drive an increase in revenue for the business.
