Eclipse Risk

Eclipse Risk is your enterprise anonymization solution

Scroll for more

Product Video
Product Comparison Table
Technical Specifications

Anonymize your vast stores of sensitive data. Safely. And at scale.

Innovators earn trust by protecting the privacy of people whose lives populate their large datasets. Safely leveraging this wealth of sensitive data affords you the privilege of driving innovations that benefit everyone.

Eclipse Risk is automated, scalable software that:

Anonymizes structured data sets of any size and sensitivity to the highest possible standard, while preserving data utility

Statistically measures and then reduces the likelihood of people being re-identified

Provides auditable proof that your data is no longer identifiable

Learn how Eclipse Risk safely anonymizes data at scale

 

Eclipse Risk can help your team:

Scale data de-identification across different regulatory jurisdictions including GDPR, HIPAA and CCPA

Gain valuable insight from huge amounts of sensitive data dispersed globally

Leverage anonymized data for product development and testing

Enable safe data sharing with partners

Drastically reduce financial and admin costs of GDPR compliance

Anita Fineberg

“Privacy Analytics Eclipse provides a sound evidentiary basis for substantiating the claim that personal information is de-identified. It also allows for appropriate security safeguards to protect the data based on an empirically assessed risk of re-identification in the recipient environment.”​

Anita Fineberg, LL.B., CIPP/C, Privacy Lawyer and Consultant

Eclipse Risk At-A-Glance

If you’re looking to do more with your data, then modern, purpose-built software is what you need.

Intended Use

  • Secondary use of sensitive data

Reputation

  • Automatically generated, legally defensible reports
  • Integrated statistical measurement of re-identification risk
  • Flexibility to optimize data utility

Enterprise Agility

  • Full spectrum of anonymization available

Scalability

  • Automatic, repeatable, expert de-identification

Innovation

  • Adapts quickly to market trends and regulatory changes

Data Utility

  • Flexibility to preserve what you need in the data

How does Eclipse Risk compare to rules-based tools?

Download the comparison table to find out

Technical Information about Eclipse Risk

Your privacy is important. That’s why Eclipse Risk is designed to run on your company’s platform, without any intervention from us. You can install Eclipse Risk on premise or in the cloud (Azure or AWS), securing the perimeter according to your internal protocols.

You can also leverage cloud-native cluster computing services like Amazon EMR or Databricks to take advantage of auto-scaling (better user experience at lower cost, and better support for Data Lake storage).

Eclipse Risk does not store any personal data or protected health information. The source information is read from input data*, processed on main memory by Apache Spark and then, once anonymized, is written into new tables/files on the output data source.

Eclipse Risk supports security of ‘Data at Rest’ as well as ‘Data in Transit’ using encryption and TLS (SSL) as required for all PHI data flows. Includes enterprise security features like Active Directory integration, LDAP, and role-based access controls.

*Our list of supported data types is constantly evolving. Contact us for an up-to-date list.

Eclipse Risk can run manually through your browser or you can choose to automate de-identification jobs via ELT/ETL by calling REST APIs.

Get Eclipse Risk and start earning the trust it takes to innovate

Sign me up for marketing communications on safely leveraging my sensitive data.

Archiving / Destroying

Are you unleashing the full value of data you retain?

Your Challenges

Do you need help...

  • Unleashing the full value of retained data so they can be put to work safely and responsibly in line with privacy regulation?
  • Defining and implementing effective archival and disposal processes for personal data?

OUR SOLUTION

Value Retention

  • Retain the business value in your data through anonymization.
  • Ensure compliance in your retention & destruction strategy.
  • Maximize the reuse of information by removing what is personal.

Client Success

Client: Comcast

Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.

Read the full story >

Evaluating

Are you achieving intended outcomes from data?

Your Challenge

Do you need help...

  • Optimizing the use / analysis of data to achieve your organization’s intended outcomes with measured success?

OUR SOLUTION

Unbiased Results

  • Reduce / minimize risk of bias in your data for machine learning.
  • Ensure transparency, fairness, and AI ethics / compliance.
  • Ensure data ethics & compliance in your data models and results.

Client Success

Client: Integrate.ai

Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.

Read the full story >

Accessing

Do the right people have the right data?

Your Challenges

Do you need help...

  • Ensuring the right people have access to the right data at the right times?

OUR SOLUTION

Usable and Reusable Data

  • Enable internal access and / or external sharing of data for primary and / or secondary uses.
  • Ensure data are useful and reusable in alignment with FAIR principles.
  • Ensure data have the right level of privacy protection for the use.

Client Success

Client: Novartis

Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.

 

See the full story >

Maintaining

Are you empowering people to safely leverage trusted data?

Your Challenges

Do you need help...

  • Maintaining / processing data securely and efficiently to promote data enablement with auditable proof of compliance?

OUR SOLUTION

Security / compliance efficiency

  • Creating synthetic versions of data to be used for innovation / AIML.
  • Applying data minimization principles to reduce your risk exposure.
  • Transforming your data for secondary uses and access.

CLIENT SUCCESS

Client: ASCO’s CancerLinQ

Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.

 

Visit ASCOPubs.org to read the full story >

Acquiring / Collecting

Are you acquiring the right data? Do you have appropriate consent?

Your Challenge

Do you need help...

  • Ensuring the acquisition / collection of the right data under the appropriate consent / contracts to maintain corporate integrity?

OUR SOLUTIONS

Consent / Contracting strategy

  • Developing a consent / contractual framework for collecting / sourcing.
  • Creating a comms strategy for internal / external stakeholders.
  • Ingesting and transforming data safely to earn trust.

Client Success

Client: IQVIA

Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR. 

 

Read the full story >

Planning

Are You Effectively Planning for Success?

Your Challenges

Do you need help...

  • Defining a clear data strategy to achieve desired outcomes?
  • Getting it right at the start to avoid costly privacy missteps later?

OUR SOLUTION

Build privacy in by design

  • Building privacy into your data plan / platform / pipeline upfront.
  • Establishing a trusted data strategy (ethics, compliance, privacy).

Client Success

Client: Nuance

Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.

 

Visit Nuance.com to read the full story >

Join the next 5 Safes Data Privacy webinar

This course runs on the 2nd Wednesday of every month, at 11 a.m. ET (45 mins). Click the button to register and select the date that works best for you.

Register Now