Fast. Safe. Scalable.
Eclipse is a modular enterprise software platform that transforms vast stores of sensitive data, safely and at scale, in an automated process.
Download the data sheet and learn how it empowers you to anonymize structured data of any size and sensitivity to the highest possible standard.
Which Eclipse software module best meets your business need?
Description
Automates transformation of sensitive data at scale, providing a HIPAA-compliant dataset quickly and affordably
Automates anonymization of structured data at scale to meet privacy, compliance and business requirements
Eclipse Trials is available as a powerful add-on module to our Eclipse Risk software package. Automates anonymization of clinical trial data at scale, quickly and in a compliant manner
Anonymization
Type
Rules-based
Statistical,
context-driven
Statistical,
context-driven
Regulatory
Scope
Full de-identification under jurisdictions that accept a rules-based approach, i.e. HIPAA Safe Harbor
Full anonymization across global regulations, including GDPR, HIPAA, and CCPA
Full anonymization under all global regulations, including GDPR, HIPAA, and CCPA
Features
Advanced data transformations
Purpose-built for HIPAA
Safe Harbor
Dynamic techniques to preserve data utility
Detailed audit report for privacy compliance
Streamlines clinical trial data field classification
Purpose-built for life-science organizations
Which Eclipse software solution best meets your business need?
Description
Automates anonymization of structured data at scale to meet privacy, compliance and business requirements
Anonymization
Type
Statistical, context-driven
Regulatory
Scope
Full anonymization across global regulations, including GDPR, HIPAA, and CCPA
Features
Dynamic techniques to preserve data utility
Detailed audit report for privacy compliance
Description
Eclipse Trials is available as a powerful add-on module to our Eclipse Risk software package. Automates anonymization of clinical trial data at scale, quickly, affordably and in a compliant manner
Anonymization
Type
Statistical,
context-driven
Regulatory
Scope
Full anonymization under all global regulations, including GDPR, HIPAA, and CCPA
Features
Streamlines clinical trial data field classification
Purpose-built for life-science organizations
Description
Automates transformation of sensitive data at scale, providing a HIPAA-compliant dataset quickly and affordably
Anonymization
Type
Rules-based
Regulatory
Scope
Full de-identification under jurisdictions that accept a rules-based approach, i.e. HIPAA Safe Harbor
Features
Advanced data transformations
Purpose-built for HIPAA
Safe Harbor
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