Overview
Our behavioural biometrics and device intelligence solution, available via CrossCore, continuously monitors hundreds of signals to predict the likelihood of fraud, identity theft, or scams in progress. This can support businesses in a number of ways:
- Onboarding: Spotting potential ID theft
- Identify returning devices: Both of good customers, but also those previously to be seen involved in fraud
- Account management: Changing customer data, credentials, password resets or transferring funds
Leveraging both bespoke rules-based risking and supervised machine learning models, the service is designed to optimise fraud catch whilst minimising false positives.
This continuous and passive monitoring approach has zero impact on user experience as it does not involve any additional form fills.
Ready to transform your identity and verification process? Talk to our team.
Why do devices and customer interactions need monitoring?
Know Your Customer (KYC) and standard fraud tools focus on assessing the individual and their standard personally identifiable information (PII) attributes, if there are fraud consortium matches (Experian Fraud Exchange, CIFAS) and whether there’s a change of address.
Device and behavioural biometric data adds additional attributes, providing further insight into the user, the device and their location which has proved crucial in the fight against fraud.
What does it mean for you?
- Proactive risk management: Device and behaviour intelligence enables you to take a proactive approach to risk management by identifying potential security threats before they are exploited by attackers.
- Compliance: Can help support demonstrating compliance with regulatory requirements.
- Improved decision-making: By understanding the risks associated with each device and customer interaction, you can make more informed decisions about security investments, policies, and resource allocation.
- Single customer view: You can get a holistic view across all devices and every session.
- Efficiency: You can streamline the risk assessment process by automating the collection and analysis of device and behaviour related data. This reduces the time and effort required to assess risks manually.
How did we help a leading telecoms provider?
A leading telecommunications provider was facing a growing fraud challenge across its digital sales channels, particularly within handset upgrades, new customer applications, and SIM-only journeys.
Fraudsters were successfully bypassing traditional fraud controls, including credit checks and Know Your Customer (KYC) processes, by using genuine identities and stolen personal information.
By introducing behavioural and device intelligence before fulfilment, the organisation shifted from a reactive fraud management model to a proactive prevention strategy.
The results were immediate and substantial:
53% of the fraud identified before delivery was flagged
Fraud losses reduced by 19%
Fraud savings increased by 26%
Significant reduction in high-value handset fraud
Increased operational efficiency through faster fraud response and rule management
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How can I access Behavioural Biometrics & Device Intelligence?
The solution is delivered via our CrossCore that brings together all the data and services you need into a single view via one platform. Offering flexibility and an open API approach, it gives you greater control to manage your risk profile and customer journeys particularly when you need to adapt to changing circumstances.
Request a consultationThe benefits at a glance
A single view of every customer touchpoint
Reidentify returning customers and all their devices, whilst easily seeing every interaction
Compliance
Provides additional support when demonstrating compliance with regulatory requirements
Improved decision-making
By understanding the risks associated with each device and customer interaction, you can make more informed decisions
Device consortia
Protect your organisation by quickly identifying devices that have been involved in fraud elsewhere
Efficiency
Streamline the risk assessment process by automating the collection and analysis of device and behaviour-related data
Reduce false positives
Support more accurate customer recognition, improving customer experience and reducing false positives
Improved customer experience
Genuine customers can access accounts quickly and easily while preventing even if they have login credentials
Single open platform
Where data and services can be quickly and easily added to enable you to adapt to the changing environment