USE CASE
Example Customer
Large Retail Banks
Data Owner
Credit Unions, Banks, Credit Card Companies
Data Users
FinTechs
Type of Data
Bank Transaction, Point-of-sale Transactions, Customer Transaction, Geolocation, Online Retail Activity
Summary of Pain Point
Financial institutions could greatly improve their ability to track fraudulent activity if they could use data from other financial institutions with customers-in-common.
Summary of TripleBlind’s Solution
Using TripleBlind, independent financial institutions can privately aggregate sensitive data.
Together, they can privately use each other’s data to achieve an overall reduction in fraud/money laundering and reach higher levels of compliance.
Know Your Customer (KYC) efforts are easier and money laundering is detected more quickly and accurately, as competitors are able to leverage one another’s data for mutual gain without risk of exposing their customer data.
Separate entities benefit when they can collaborate for without giving up proprietary data — all through privacy enhancing computation.
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TripleBlind’s innovations build on well understood principles of data protection. Our innovations radically improve the practical use of privacy preserving technologies, by adding true scalability and faster processing, with support for all data and algorithm types. We support all cloud platforms and unlock the intellectual property value of data, while preserving privacy and enforcing compliance with HIPAA and GDPR.