Confidential Clean Rooms

SafeLiShare’s clean rooms ensure security and privacy on both the data and models used within data cleanrooms are cryptographically verified when collaborating on data while preserving privacy. Moreover, all asset owners can use different cloud platforms without cloud IT resources and processes are immutable, auditable, and trackable.

Computationally enforced policies govern who can do what with data, for how long

Keep data protection for multi-party data sharing

Automate a series of inter-connected secure enclaves with access control and key management

Assure data usage and enforce continuous GRC

Enables Unstructured

Data Sharing with Verifiability

Improved Learning

through Data Aggregation

SafeLiShare enables confidential federated learning with multiple parties to collaboratively learn a shared prediction model without exchanging their data and outputs, which improves user privacy and reduces bandwidth costs.

A Series of Interconnected

Secure Enclaves

Control and manage the keys used decrypt the registered assets and control the ensuing computations. SafeLiShare delivers end to end protection for sensitive and private information brought into the clean room is ensured as assets are re-encrypted when exiting the clean room.

Secure AI/ML Models

and Federated Workflows

Allows users to securely manage access to their data across multiple systems, applications, and services in data collaboration. SafeLiShare makes it easy to adhere to different data policies and permissions from a single pane of control.

Complete Visibility

and Full Control

SafeLiShare’s management plane integrates data inputs to produce downstream decision-making process or additional insights.

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Confidential Clean Room: Use Cases

The confidential clean room is designed to maintain confidentiality and privacy by restricting physical and virtual access, while cloud computing provides scalable and flexible resources for data processing and analysis. How do you protect data from cyber attacks and data exfiltrations using privacy preserving technology with immutable and continuous compliance.

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What Our

Partners Say

Our cloud-first approach is

at the heart of everything we do.

With TEE nearly ubiquitous, the upcoming implementation with the Azure Confidential Container instances remediate the industries’ challenge to reverse the never-ending cycles of adding more protections from outside in.”

Graham Bury, Principal PM Manager

Micrsoft Azure Confidential Computing