Fireside Chat #4:
Defending the Lawfulness & Ethics of Desired Processing

Presentation Transcript
Gary LaFever
CEO & General Counsel
Doug Laney
Principal, Data & Analytics Strategy Best-Selling Author of "Infonomics"
Summary Slide from Fireside Chat
Doug Laney
This is Doug Laney, Data & Analytics Strategy Principal at Caserta and author of the book “Infonomics: How to Monetize, Manage and Measure Information as an Asset.” I am here today with Gary LaFever, CEO and General Counsel at Anonos, to discuss an approach to “Defending the Lawfulness and Ethics of Desired Processing.”

Some people may wonder why digital insights are so important in the post-pandemic world. It's because organisations need new sources of value to replace those that have been lost, and they also need to diversify revenue streams. In addition, they need to solidify relationships with their existing customer base and improve upon partnerships via commercial data exchange relationships.

It seems to me that Anonos can help to reconcile the opposing forces of regulation and monetisation necessary to achieve these results. On the one hand organisations have new controls and regulations to contend with, which reduces their ability to derive digital insights from leveraging data assets both internally and externally. On the other hand, they have an imperative to monetise data in new and innovative ways to generate new value streams. Gary, can you explain how Anonos helps to bridge this widening divide?
Gary LaFever
Anonos data protection technology can be integrated into data lakes, into streaming data, into batch processing, or applied at the network edge, to enable decentralised data use, sharing and combining to be accomplished in a flexible and scalable way. This means that digital insights can be achieved in compliance with global data protection standards, vertical industry regulations and data sovereignty or localisation requirements. Anonos does this by combining the benefits of anonymisation, Pseudonymisation (as newly defined in the GDPR), CCPA-heightened de-identification and patented proprietary techniques. Using this combined approach, Anonos enables accurate decentralised data use, sharing and combining in compliance with regulatory and risk management requirements.
The core of Anonos' capabilities is centered around our non-identifying versions of data, called Variant Twins, which are our patented approach to controlling selective date use and disclosure.
With Variant Twins, organisations only provide the type and level of identifiable data needed for each authorised process. This aligns with modern data protection principles like data minimisation and purpose limitation. Because all Variant Twins are derived from the original source data, organisations suffer no degradation in data value or accuracy.
Variant Twins deliver resistance to re-identification of anonymous data; enable data controllers to retain absolute control over the re-linkability of their data; provide 100% accuracy; protect data in use; and activate express statutory benefits under data protection laws.

Variant Twins improve upon the statutory capabilities and benefits allocated to state-of-the-art privacy techniques like Pseudonymisation under the GDPR and heightened de-identification under the CCPA. They do so in a way that enables digital insight objectives to be achieved while respecting and enforcing the fundamental rights of data subjects as consumers in a data-driven ecosystem.
Doug Laney
Gary, can you share a use case where Anonos technology helped to “Defend the Lawfulness and Ethics of Desired Processing”?
Gary LaFever
Doug, we are working with a European bank that is interested in using enhanced market intelligence to develop new cross-sale and upsell opportunities for existing and prospective customers. But to create useful market intelligence to generate new opportunities for clients and partners, the bank required access to timely digital insights and data use expansion.

Some of the challenges were:
  • Sharing and exchanging data with partners and third parties to better serve customers and partners was necessary to create better business outcomes.
  • Customer needs and expectations could not be met or understood without the data.
  • Access to the data, processing and resulting insights was not lawful without enhanced data protection capabilities being put in place, but protection could not reduce data utility or enablement.
By leveraging BigPrivacy Variant Twins, the bank is able to preserve data value while enabling sophisticated risk-based decentralised processing so that it can benefit from:
  • Access and use of data that they otherwise would not have.
  • Enhanced accuracy in insights and market intelligence.
  • Data exchange with partners for more effective offerings to customers.
  • Increased availability, and improved stability, of data assets.
Contact Anonos at or Caserta at for more information.

Are you facing any of these 4 problems with data?

You need a solution that removes the impediments to achieving speed to insight, lawfully & ethically

to Insight
Are you unable to get desired business outcomes from your data within critical time frames? 53% of CDOs cannot achieve their desired uses of data. Are you one of them?
Lack of
Do you have trouble getting access to the third-party data that you need to maximise the value of your data assets? Are third-parties and partners you work with worried about liability, or disruption of their operations?
Inability to
Are you unable to process data due to limitations imposed by internal or external parties? Do they have concerns about your ability to control data use, sharing or combining?
Are you unable to defend the lawfulness of your current data processing activities, or data processing you have done in the past?
Traditional privacy technologies focus on protecting data by putting it in “cages,” “containers,” or limiting use to centralised processing only. This limitation is done without considering the context of what the desired data use will be, including decentralised data sharing and combining. These approaches are based on decades-old, limited-use perspectives on data protection that severely minimise the kinds of data uses that remain available after controls have been applied. On the other hand, many other new data-use technologies focus on delivering desired business outcomes without considering that roadblocks may exist, such as those noted in the four problems above.
Anonos technology allows data to be accessed and processed in line with desired business outcomes (including sharing and combining data) with full awareness of, and the ability to remove, potential roadblocks.