USE CASE
Example Customer
Global Enterprise
Data Owner
Various Divisions of the Global Enterprise
Data Users
Artificial Intelligence (AI) and Machine Learning (ML) Model Developers
Type of Data
Insurance Claims, Transaction, and Credit Data
Summary of Pain Point
Organizations require the ability to test new data products before they buy them to ensure quality and fit.
Technology and data vendors do not want to expose their assets without first having a sale or agreement.
Trust is a requirement which often slows down due to third party risk assessments and legal/procurement processes.
Summary of TripleBlind’s Solution
Using TripleBlind, organizations can test data and algorithms without needing to have access to the underlying raw data or protected IP, minimizing risk management processes.
Data and product evaluations happen faster, trust is technically enforced, and can be done using real data — all with 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.