Case Study
BeeKeeperAI Accelerates Healthcare AI and Enables Secure Healthcare Data Collaboration with Fortanix Confidential Computing

Customer Profile
Created at the University of California, San Francisco (UCSF), Center for Digital Health Innovation (CDHI), BeeKeeperAI accelerates the development and deployment of artificial intelligence (AI) algorithms in healthcare. The BeeKeeperAI platform allows healthcare data stewards to keep their sensitive data in their secure cloud environment while safely providing access to the data for 3rd party development and deployment of AI solutions to improve outcomes and reduce the cost of healthcare.
Industry
Medical Healthcare
Use Cases
Confidential Computing
Products

Data Security Manager, Confidential Computing
Business Challenge
- The primary challenge with clinical quality ML algorithms is the need to access high quality, diverse datasets that are representative of global patient populations. The standard of clinical generalizability applied by most regulatory agencies requires that algorithms must produce similarly accurate results regardless of the type of data acquisition equipment, the demographics of the patient population, clinical setting, or other social determinants. To meet the standard, an algorithm developer must have access to data representative of that which the model will face when it is deployed into diverse clinical environments.
- As stewards of protected health information, healthcare organizations have a legal and ethical obligation to prevent inappropriate data access resulting in privacy breaches. This obligation and the risk of financial and reputational consequences of a privacy breach has created an environment where data stewards are extremely hesitant to share or allow access to their sensitive patient data.

Fortanix Solutions
Confidential Computing offers a comprehensive approach to securing data across its lifecycle as it protects data and applications when in use, ensuring data and code integrity and, auditable, data confidentiality. Confidential Computing allows organizations to process data inside trusted execution environments (TEEs) using compute resources that are now available within the cloud.
Fortanix Confidential Computing
Fortanix offers the most complete solution for Confidential Computing – providing customers with the fastest and easiest path to protect their applications and data while in use. Fortanix makes it possible to enroll computing resources, in the cloud or on-premises, and deploy existing applications within a secure TEE in minutes. This capability is unique and enables widespread adoption of Confidential Computing with no development or integration costs. And this was the promise that the BeeKeeperAI leadership identified in their initial discussions.
Fortanix Data Security Manager
The Confidential Computing technology developed by Fortanix, combined with the data at rest protection offered by Fortanix Data Security Manager , provides healthcare organizations with the ability to protect both electronic private healthcare information (e-PHI) data and the intellectual property contained in AI algorithms, even on untrusted infrastructure. Data stewards can verify the integrity of the consuming AI application using the attestation properties of Intel SGX before sending this data via a TLS pathway to the secure TEE, or “enclave” - with TLS communications terminating inside of the enclave boundary to prevent any exposure of the data outside of this environment.
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