Credit Card Fraud Detection

Example Customer

Multinational Financial Services Organization

Data Owner

Credit Card Companies

Data Users

Credit Unions

Type of Data

Point-of-Sale, 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’s privacy enhancing technology, independent financial institutions can safely aggregate sensitive data.

Together, they can privately use each other’s data to achieve an overall reduction in fraud and reach higher levels of compliance.

Credit card fraud 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.

Everyone benefits when separate entities can collaborate for mutual benefit without giving up proprietary data.

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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.