Game-Changing Technology


The 3 Biggest Impacts on Data Analytics under the GDPR

Benefits


Benefits Image

Analytics

BigPrivacy improves data-driven innovation by enabling access to and use of additional sources and more accurate information for analytics, artificial intelligence, machine learning and other secondary uses of data.

Revenue

BigPrivacy maximizes data asset revenue growth by enabling the multi-purpose use of data for all strategic needs.

Security

BigPrivacy complements perimeter, network and endpoint security technologies by protecting data in use to achieve security goals of confidentiality, integrity, and availability of information over the full life cycle of data.

Privacy

BigPrivacy technically enables compliance with data privacy and governance policies and procedures. BigPrivacy heuristics and artificial intelligence technically adjust the granularity of data exposed in real-time to comply with differing and evolving regulations and restrictions.

BigPrivacy® vs Security Technology

Encryption Data Masking Static Identifier Anonos BigPrivacy®
Protects Data In Use
Fine-grain Access
Element-level Sharing
Dynamic Pseudonymisation
Source-layer Protection
Protects Over Full Life Cycle
Read More

Use Cases


Challenge

Under the EU General Data Protection Regulation (GDPR) and evolving regulations, consent no longer provides a valid legal basis for:

  • 1. Use of historical databases
  • 2. Data analytics
  • 3. Artificial intelligence
  • 4. Machine learning
  • 5. Sharing of restricted data among third parties

Solution

The following use cases demonstrate how Anonos BigPrivacy® technology uniquely enforces granular data use controls to protect both structured and unstructured data.

This “unlocks” data to make it available for use.

Pharmaceutical Tab

PHARMACEUTICALS

Clinical Trials – Retained Data Value:

Anonos BigPrivacy® supports retention of data collected from clinical trials for secondary research by technically obscuring and limiting access to that data until necessary and proportional for each secondary inquiry or use. This is superior to traditional approaches that delete information that is no longer required.

Data Sharing/Analysis – Expanded Access:

Anonos BigPrivacy® uniquely enables the use of data in compliance with contractual and regulatory commitments by leveraging generalized, derived data values that do not reveal identifying information, yet retain the possibility of relinking, discovering correlations, and conducting longitudinal studies under technically enforced conditions. This capability enables firms to leverage third-parties to analyze data further to identify new products and therapies.

Customer Analytics Data – Preserved Access:

Anonos BigPrivacy® supports new “legitimate purpose” requirements under the EU General Data Protection Regulation (GDPR) Article 6(1)(f) as a legal basis to ensure ongoing access to customer analytics data. Under the GDPR, if the legal basis at the time of original data collection fails to satisfy new GDPR requirements, continued use of customer analytics data is prohibited.

Industrial/Consumer IoT Tab

Industrial / Consumer IoT

Industrial and consumer IOT data has been collected for years. Even more data is now being collected via increasing numbers of sensors and devices. Now, companies risk losing access to all data, new and old, because "consent of the data subject" is no longer enough to satisfy legal requirements for data analytics, artificial intelligence or machine learning under the GDPR.

Anonos BigPrivacy uniquely enables the use of data for otherwise restricted analytical purposes, while enabling Industrial and consumer IOT providers to remain in compliance with contractual and regulatory commitments.

HR System Providers Tab

HR System Providers

Employee personal data has been collected by or on behalf of employers for years, based on the consent of employees.

Companies risk losing access to this data when "consent of the employee" is no longer enough to satisfy GDPR requirements. Proprietary aggregation, correlation, and analytics applied to this data have been historically supported on the premise of the difficulty of re-identification.

Companies risk losing rights to this data when a persistent static tokenization is used, because of the increasing risks of re-identification via the Mosaic Effect and advances in computing capabilities.

Insurance Tab

Insurance

Existing data stores offer new insights into customers, products and offerings.

Data regarding customer account transactions and policy claims has been collected for years, and new data is being collected via business intelligence initiatives. Companies are not able to leverage this data to identify products and offerings for new or existing customers.

Anonos uniquely enables the use of data for otherwise restricted analytical purposes, while enabling the insurance company to remain in compliance with contractual and regulatory commitments.

Digital Marketing & Sales Tab

Digital Marketing & Sales

Sharing “Digital Intelligence” data (i.e., capturing, integrating and analyzing data to drive measurement, optimization, and execution of marketing and sales tactics and strategies) can create significant liability. In the U.S., this is exemplified by the $2.2 Million fine imposed by the FTC on Vizio for sharing indirectly identifying information (IP addresses) with a third party for Analytics purposes. In the EU, data controllers and processors are jointly and severally liable for failure of one another to comply with new GDPR requirements, including obligations to support direct, one-on-one relationships with, and expansive new rights of, individual data subjects. However, the GDPR provides a means for data controllers to share data with third parties (for Analytics, AI, ML and other legitimate purposes) who do not have relationships with data subjects, if such third parties “are not able to identify data subjects.”

Anonos BigPrivacy is the only technology that can enable lawful (under U.S., EU and other legal regimes) collection, transformation, integration, and use of data to support real-time privacy-respectful aggregate analysis of data (both structured and unstructured) while retaining context to enable re-linking of aggregate data to source (identifying) information under controlled conditions. The Anonos BigPrivacy platform embodies 5 granted patents covering core capabilities necessary to enable lawful collection, transformation, integration, and use of data.

Financial Services Tab

Financial Services

Existing data stores offer new insights into customers, products and offerings.

Data regarding customer account transactions and policy claims has been collected for years, and new data is being collected via business intelligence initiatives. Companies are not able to leverage this data to identify products for new or existing customers or for sharing and collaboration.

Anonos uniquely enables the use of data for otherwise restricted analytical purposes, while enabling the finance company to remain in compliance with contractual and regulatory commitments.

Motor Vehicle Manufacturers Tab

Motor Vehicle Manufacturers

Driver data has been collected for years and more data is now being collected via social media monitoring, sensors and self-driving cars.

Now, companies risk losing access to all data, new and old, because "consent of the data subject" is no longer enough to satisfy legal requirements for data analytics, artificial intelligence or machine learning under the GDPR.

Anonos BigPrivacy uniquely enables the use of data for otherwise restricted analytical purposes, while enabling the motor vehicle manufacturer to remain in compliance with contractual and regulatory commitments.

Data Brokers Tab

Data Brokers

Personal data has been collected from third party sources for years, based on the consent of the customers of third-party sources. Companies risk losing access to this data when "consent of the data subject" is no longer enough under the GDPR.

Proprietary data aggregation, correlation and applied analytics has been historically supported on the premise of the difficulty of re-identification. Companies risk losing rights to this data when persistent static tokenization is used, because of increasing risks of re-identification via the Mosaic Effect and advances in computing capabilities.

Anonos’ patented dynamic tokenization technology uniquely enables use of data for deeper and more sophisticated analytics, including combining data across formerly segregated sources, while enabling companies to remain in compliance with contractual and regulatory commitments.

Education System Providers Tab

Education System Providers

Student, employee and other individual data has been collected on behalf of universities, schools, employers and individuals for years based on consent.

These data sources risk losing access to this data when "consent" is no longer enough. Proprietary aggregation, correlation and analytics applied to this data has been historically supported on the premise that re-identification would be reasonably unachievable due to required commitment of capital or resources. These data sources risk losing rights to this data because of increasing risks of re-identification via the Mosaic Effect and the general evolution in computing sophistication, when a persistent static tokenization is used.

Anonos’ patented dynamic tokenization technology uniquely enables use of data in compliance with contractual and regulatory commitments.

PHARMACEUTICALS

Clinical Trials – Retained Data Value:

Anonos BigPrivacy® supports retention of data collected from clinical trials for secondary research by technically obscuring and limiting access to that data until necessary and proportional for each secondary inquiry or use. This is superior to traditional approaches that delete information that is no longer required.

Data Sharing/Analysis – Expanded Access:

Anonos BigPrivacy® uniquely enables the use of data in compliance with contractual and regulatory commitments by leveraging generalized, derived data values that do not reveal identifying information, yet retain the possibility of relinking, discovering correlations, and conducting longitudinal studies under technically enforced conditions. This capability enables firms to leverage third-parties to analyze data further to identify new products and therapies.

Customer Analytics Data – Preserved Access:

Anonos BigPrivacy® supports new “legitimate purpose” requirements under the EU General Data Protection Regulation (GDPR) Article 6(1)(f) as a legal basis to ensure ongoing access to customer analytics data. Under the GDPR, if the legal basis at the time of original data collection fails to satisfy new GDPR requirements, continued use of customer analytics data is prohibited.

Industrial/Consumer IoT

Industrial and consumer IOT data has been collected for years. Even more data is now being collected via increasing numbers of sensors and devices. Now, companies risk losing access to all data, new and old, because "consent of the data subject" is no longer enough to satisfy legal requirements for data analytics, artificial intelligence or machine learning under the GDPR.

Anonos BigPrivacy uniquely enables the use of data for otherwise restricted analytical purposes, while enabling Industrial and consumer IOT providers to remain in compliance with contractual and regulatory commitments.

HR System Providers

Employee personal data has been collected by or on behalf of employers for years, based on the consent of employees.

Companies risk losing access to this data when "consent of the employee" is no longer enough to satisfy GDPR requirements. Proprietary aggregation, correlation, and analytics applied to this data have been historically supported on the premise of the difficulty of re-identification.

Companies risk losing rights to this data when a persistent static tokenization is used, because of the increasing risks of re-identification via the Mosaic Effect and advances in computing capabilities.

Insurance

Existing data stores offer new insights into customers, products and offerings.

Data regarding customer account transactions and policy claims has been collected for years, and new data is being collected via business intelligence initiatives. Companies are not able to leverage this data to identify products and offerings for new or existing customers.

Anonos uniquely enables the use of data for otherwise restricted analytical purposes, while enabling the insurance company to remain in compliance with contractual and regulatory commitments.

Digital Marketing & Sales

Sharing “Digital Intelligence” data (i.e., capturing, integrating and analyzing data to drive measurement, optimization, and execution of marketing and sales tactics and strategies) can create significant liability. In the U.S., this is exemplified by the $2.2 Million fine imposed by the FTC on Vizio for sharing indirectly identifying information (IP addresses) with a third party for Analytics purposes. In the EU, data controllers and processors are jointly and severally liable for failure of one another to comply with new GDPR requirements, including obligations to support direct, one-on-one relationships with, and expansive new rights of, individual data subjects. However, the GDPR provides a means for data controllers to share data with third parties (for Analytics, AI, ML and other legitimate purposes) who do not have relationships with data subjects, if such third parties “are not able to identify data subjects.”

Anonos BigPrivacy is the only technology that can enable lawful (under U.S., EU and other legal regimes) collection, transformation, integration, and use of data to support real-time privacy-respectful aggregate analysis of data (both structured and unstructured) while retaining context to enable re-linking of aggregate data to source (identifying) information under controlled conditions. The Anonos BigPrivacy platform embodies 5 granted patents covering core capabilities necessary to enable lawful collection, transformation, integration, and use of data.

Financial Services

Existing data stores offer new insights into customers, products and offerings.

Data regarding customer account transactions and policy claims has been collected for years, and new data is being collected via business intelligence initiatives. Companies are not able to leverage this data to identify products for new or existing customers or for sharing and collaboration.

Anonos uniquely enables the use of data for otherwise restricted analytical purposes, while enabling the finance company to remain in compliance with contractual and regulatory commitments.

Motor Vehicle Manufacturers

Driver data has been collected for years and more data is now being collected via social media monitoring, sensors and self-driving cars.

Now, companies risk losing access to all data, new and old, because "consent of the data subject" is no longer enough to satisfy legal requirements for data analytics, artificial intelligence or machine learning under the GDPR.

Anonos BigPrivacy uniquely enables the use of data for otherwise restricted analytical purposes, while enabling the motor vehicle manufacturer to remain in compliance with contractual and regulatory commitments.

Data Brokers

Personal data has been collected from third party sources for years, based on the consent of the customers of third-party sources. Companies risk losing access to this data when "consent of the data subject" is no longer enough under the GDPR.

Proprietary data aggregation, correlation and applied analytics has been historically supported on the premise of the difficulty of re-identification. Companies risk losing rights to this data when persistent static tokenization is used, because of increasing risks of re-identification via the Mosaic Effect and advances in computing capabilities.

Anonos’ patented dynamic tokenization technology uniquely enables use of data for deeper and more sophisticated analytics, including combining data across formerly segregated sources, while enabling companies to remain in compliance with contractual and regulatory commitments.

Education System Providers

Student, employee and other individual data has been collected on behalf of universities, schools, employers and individuals for years based on consent.

These data sources risk losing access to this data when "consent" is no longer enough. Proprietary aggregation, correlation and analytics applied to this data has been historically supported on the premise that re-identification would be reasonably unachievable due to required commitment of capital or resources. These data sources risk losing rights to this data because of increasing risks of re-identification via the Mosaic Effect and the general evolution in computing sophistication, when a persistent static tokenization is used.

Anonos’ patented dynamic tokenization technology uniquely enables use of data in compliance with contractual and regulatory commitments.

WHAT INDUSTRY LEADERS ARE SAYING ABOUT ANONOS


Jules Polonetsky Testimonial

“Anonos shows there are smart technical and policy solutions that can ensure we gain the benefits of new data uses while avoiding the risks.”

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MARTIN ABRAMS Testimonial
MARTIN ABRAMS

Information Accountability Foundation Executive Director & Chief Strategist

“Anonos makes effective controls possible that break the stalemate between responsible use and data obscurity.”

Jules Polonetsky Testimonial

“The potential to bring technical and organization approaches into data privacy debates that desperately need new concepts.”

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Resources


Cover for The GDPR and Controlled Linkable Data Report

The GDPR and Controlled Linkable Data

Global firms that gather, use or store GDPR personal data should consider the possibility that Controlled Linkable Data as described in this White Paper enables secondary uses of data while ensuring compliance with GDPR requirements.

Download