Aggregate risk data,
Automate insights
Aggregate risk data,
Automate insights
Honey Badger Risk Insights
Companies House
Credit Info
FCC 499 Database
Ofcom
Dilisense AML
JT Mobile Intelligence
EmailAge
Sanctions.io
Social Presence
Fingerprint
Google Web Risk
Tellows Phone Reputation
Mobile Network Intelligence
Charity Insights
TUFF Fraud Database
The Gazette
Trustfull
IP Address Risk
Cifas
GSMA
REFERENCE GUIDE
Get a copy of ‘Fraud, financial crime and credit risk throughout the customer lifecycle‘ sent directly to your inbox.
> Risk Checklists
How comprehensive are your risk checks? Download our checklists and find out.
It’s not always obvious which risk checks to run and why. That’s why we’ve created our collection of ultimate risk checklists. Each checklist provides a list of recommended risk checks with a description of why each one is important. Use them when whenever you’re working with users or businesses.
> Resources
Find more resources on Risk Insights and other Honey Badger solutions
> Contact
Speak with a Risk Insights expert
Honey Badger helps companies operate by reducing and mitigating risk. Speak with an expert to discover how Risk Insights can work for you.
Drop us a message and we’ll be in touch right away.
Complete the form below and we’ll send the checklist directly to your inbox.
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Contact Data Cleansing verifies that the contact and personal information you hold isn’t out of date or inaccurate.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.