
Data Science and Machine Learning Platforms
Developer of a data protection platform intended to make data breaches irrelevant by keeping data encrypted from production through processing. The company's platform offers a comprehensive data protection capability that unifies enhanced data access monitoring and access control with end-to-end encryption and it also employs an AES 256-bit encryption method, enabling clients to securely compute cloud applications and integrate at the SQL layer as a gatekeeper to constrain how applications access sensitive data and help thwart attacks that were the causes of the high profile data breaches.
- Revenue
- $3.3M
- Customers
- -
- Year founded
- 2015
- Funding
- $35.5M
- Team size
- 61
- Location
- United States