TripleBlind compares favorably with other privacy preserving technologies, such as homomorphic encryption, synthetic data, and tokenization and has documented use cases for more than two dozen mission critical business problems. Fill out the form to access our whitepaper and learn how abundant data is currently being under utilized.
Protect Data In-Use
TripleBlind’s irreversible one-way encryption protects data in-use while allowing it to be computable for reporting, analysis, and model training.
Train On Any Type of Data
With TripleBlind, models achieve higher accuracy since they can be trained on full datasets, even those containing sensitive data elements, without risk to the data owner that private information will be leaked.
Reduce the Time and Steps to Get Data
Data collaborations concerning sensitive data can take as long as two years of legal back-and-forth to get off the ground. With TripleBlind, you get a set-it-and-forget-it approach to privacy, governed by custom user agreements that restrict use of your data and algorithms to approved operations and individuals only.
TripleBlind takes information security and compliance seriously. We achieved SOC 2 Type 1, certified by Laika and Laika Compliance LLC in April, 2022.
For inquiries into our report, please contact compliance@tripleblind.ai.
TripleBlind has documented use cases for more than two dozen mission critical business problems.
CTO of TripleBlind
Craig, creator of fully homomorphic encryption, joins TripleBlind with more than 20 years of experience in cryptography, data privacy and blockchain, and has received numerous accolades for his research and advancements.
