Also known as entity resolution or record linkage identity resolution is a critical part of the modern fraud prevention stack.
This is what happens when an online business lacks robust identity resolution in its fraud stack.
Small changes in customer data makes it difficult for machines to make the connection between customer accounts. Real-time fuzzy matching on high-volume is a major challenge for data teams in fraud prevention departments.
Fraudsters repeatedly sign-up to your platform, but you are unable to quickly make the connections to keep them out.
Managing highly-linked high-volume data for fraud prevention is expensive and a strain for conventional data infrastructure technologies.
Teams of analysts are often employed to manually investigate possible account connections costing both time and money.
Machine learning models need complete data to make the best fraud prevention decisions.
Graph databases, data warehouses and search technologies are unable to match data in real-time to provide complete datasets for fraud detection.
What you need is a high-perfomance identity resolution solution that is designed for high volume, real-time data.
Consistent <150ms response times. No matter how complicated the data gets. Perfect for real-time use cases.
Designed for serverless technology, there is no limit to the amount of data that you can simultaneously process with Tilores.
Ingest data in real-time and search simultaneously. Your data is always up-to date and immediately accessible.
Fully customizable data scheme and matching rules. The only limit is your imagination with Tilores.
Track data provenance and delete data automatically based on rules. Data privacy compliance out-the-box.
Configure and test your customer deduplication and linking rules in our intuitive UI.
How TiloRes Enabled a Consumer Credit Bureau to Provide Real-time Data for Fraud Prevention using Identity Resolution Software