Fraudulent Claims Detection

Example Customer

Global Insurers

Data Owner

Insurance Providers

Data Users

InsureTech Vendors

Type of Data

Insurance Claims Data

Summary of Pain Point

Fraudulent insurance claims undermine the industry and cost providers millions of dollars. 

Insurance companies use their customer and claims data to develop claims detection models. 

Privacy and liability issues arise when insurance providers attempt to work together or with 3rd party tech vendors to develop more robust models.

Summary of TripleBlind’s Solution

Insurance companies privately aggregate sensitive claims data.

Together, they use privacy enhancing computation to run analyses and achieve an overall reduction in fraud.

Firms never see each other’s customer data – leading to a reduction in fraudulent claims across the board, without competitors leaking their valuable customer information.

Everyone benefits, competitors can collaborate for mutual benefit without giving up the 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.