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Best Data Protection & Cybersecurity Products

Best Data Protection & Cybersecurity Products

This category is a work in progress

As healthcare data goes digital, cybersecurity is more important than ever. Digital solutions not only protect against external cyberattacks. They also safeguard internal misuse of clinical, administrative and financial information, including privacy violations, data lockouts, and data changes. Digital cybersecurity tools mitigate the risks of:

  • Loss of trust by patients
  • Patient safety and quality risks
  • Decrease clinical efficiency
  • Costs from fines and litigation
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Data Protection & Cybersecurity: Products


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EscrowAITM is a patented (US Patents #11,531,904 and #11,748,633) zero-trust project-based collaboration workflow software that facilitates sightless computing on PHI. 

EscrowAI enables secure collaborations between data steward(s) and model developer(s) by:
• Maintaining data sovereignty (the data remains in the data steward’s secure environment)
• Protecting patient privacy (the PHI data is never seen or shared and remains encrypted at rest, in transit, and during compute in the data steward’s secure environment)
• Protecting the intellectual property of the model (at rest, in transit, and during compute in the data steward’s environment)
• Ensuring the mutually approved performance report leaves the enclave without exfiltrating patient data

EscrowAI includes workflow-driven user interfaces for both the model developer and the data steward(s), security and privacy enhancing technology capabilities for identity and access management, attestation, key management, and the Trusted Execution Environment. The user experience is supported 24/7 with an online help center and issue reporting as well as customer service.

EscrowAI is fully HIPAA and GDPR compliant. EscrowAI is available in the Azure Marketplace and may be purchased through Microsoft. EscrowAI is a Microsoft Azure Computing (MAC) quote eligible solution.

Typical use cases include:
• Industry-sponsored research on data that cannot be de-identified (small population, genomics, social determinants of health, retinal imaging, etc.) or the effort to de-identify would be too costly or time consuming
• Multi-site validation to demonstrate the generalizability of a model
• Multi-jurisdictional development requiring compute on data that cannot leave its location
• Multi-institutional research infrastructure in which models will be sent to various institutions for computing

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Leading Health System
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Leading Health System
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Leading Health System
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Leading Health System
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