Your security and privacy are of utmost importance to Secure AI Labs.
The Data Federation Platforms provide privacy enhanced computing:
- Federated Analytics computations performed in a Secure Trusted Execution Environment
- Highly regulated computational environment which runs only trusted computational payloads using privacy enforcing technology
- Access control policies coupled with end-to-end encryption ensuring that data is accessible only to authorized parties
- High-assurance auditing
Secure AI Labs platform is a fully hosted high-assurance Trusted Execution Environment that requires no customer-side installation.
All Secure AI Labs’ payloads are hosted within the Microsoft Azure cloud using Azure Confidential Computing which is HIPAA compliant. Customers can select hosting regions to enforce jurisdictional requirements.
Achieved Compliance August, 2022
Our team has partnered with Layer 8 Security to complete the HIPAA Security Rule Assessment.
GDPR documentation and technical information for UK and EU customers can be found here.
Our risk management policy covers the administrative, physical, and technical processes that enable and govern any PHI and PII that is created, maintained, received, or transmitted by Secure AI Labs.
Incident Response, Disaster Recovery and Business Continuity Plans
IR, DR, and BC plans are in implemented at Secure AI Labs. These plans are tested and reviewed at least annually in compliance with industry best practices.
Information Security Management Program
We have documented and implemented an ISMP following HIPAA, GDPR and HITECH control framework.
Data Encryption architecture is employed in the Unified Patient Registry.
Privacy and Security Training
All employees are required to undergo security and privacy training through a designated third-party. Training initially takes place as part of the onboarding process and all employees receive annual training.
Employee Background Checks
Background checks are performed on all Secure AI Labs employees during the hiring process.