Webinar: Demystifying SafeLiShare Clean Rooms

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.

Confidential Clean Room: Use Cases

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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.

What Our Partners Say

Our cloud-first approach is at the heart of everything we do.

Graham Bury

“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

People also ask

Additional materials

AI, Data, and Privacy Preservation: Trends and News from RSA 2023 Related to Confidential Computing

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AI, Data, and Privacy Preservation: Trends and News from RSA 2023 Related to Confidential Computing

The annual RSA Conference(RSAC) #RSAC2023 was held last week in San Francisco, featuring many cybersecurity professionals aiming to attract customers, prospects, and partners.

Key Benefits of Data Sharing in Industry 4.0

March 14, 2023

Key Benefits of Data Sharing in Industry 4.0

Industry 4.0 encourages collaboration between different companies as they are able to analyze each other’s data more easily and share their findings.

SaaS Data Security: How to Ensure Your Data is Safe

March 9, 2023

SaaS Data Security: How to Ensure Your Data is Safe

SafeLiShare solves data privacy in SaaS with a cryptographic infrastructure service with easy API and CLI toolkit. It provides tamper-proof guarantee the security of customer data...

Cloud Data Life Cycle Explained

March 8, 2023

Cloud Data Life Cycle Explained

During the data life cycle, sensitive information may be exposed to vulnerabilities in transfer, storage, and processing activities.

Experience secure collaborative data sharing today.

Maximize accessibility and monetization of sensitive, regulated, or confidential data without compromise.