Fireside Chat #3:
Automated Processing for Frictionless Digital Insights

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 the benefits of “Automated Processing for Frictionless Insights.”

Gary, what does Anonos do to reduce friction in data processing, while complying with the requirements of both internal and external parties? Can data be made available to achieve business outcomes across different ecosystems in a way that is lawful and ethical, but also efficient and timely?
Gary LaFever
Anonos’ decentralised data protection technology allows data to be processed in an automated way to achieve desired business outcomes with full awareness of, and the ability to remove, potential roadblocks to processing. Anonos does so by embedding policy, privacy and security controls into data flows. These are centralised controls over decentralised processing, that automate the balancing of complex, multi-issue processing to comply with established policy, privacy and security requirements.

Data sharing and combining is where data value, insight, privacy and security meet. Without Anonos decentralised data protection, desired data use may be too risky or unlawful, or its value may be diminished. Processing performed using traditional centralised data protection technologies may be too slow and inefficient to obtain digital insights. With Anonos, however, organisations can comply with internal and external requirements while maximizing data control, use, and value.
Once an organisation builds a portfolio of desired processes using Anonos technology configurations, Data Protection Impact Assessments (DPIAs) and related technical and organisational safeguards, new use cases can be supported using variations of these, so that bespoke DPIAs become the exception. This is analogous to learning a new language where a relatively few number of words and phrases underpin a disproportionate amount of the language needed for effective communication.

Anonos does this by leveraging:
  • Record-level GDPR pseudonymisation and CCPA-heightened de-identification to support controlled relinking to all source data, not just reversal of pseudonyms or de-identifiers;
  • Microsegment - or mSeg - level pseudonyms/de-identifiers to support privacy-respectful data enrichment and omnichannel personalisation that does not require surveillance of individuals; and
  • Dynamic de-identifiers within and between datasets to defeat linkage attacks.
Doug Laney
Gary, can you provide a use case where Anonos technology helps to enable “Automated Processing for Frictionless Insights”?
Gary LaFever
Nothing creates more friction between a Data User and a Third Party Data Provider than liability from tainted or unlawful data or disruptions to operations when a data subject requests that their data be deleted. The following graphics highlight differences between traditional centralised approaches to protecting data and Anonos’ decentralised approach. Anonos enables organisations to collect, use and share data in more efficient, faster, and more focused ways, with an entirely different approach than ever before.
The dark blue circles on the left represent parties holding data that they have protected using their own centralised data protection like anonymisation via tokenisation, generalization or suppression, or newer techniques like Differential Privacy, synthetic data or homomorphic encryption - all of which protect data for centralised processing only.

Here, the Data User is protected from risk.
In this example, none of these parties are sharing data with each other. So, if one party has defective controls, it does not affect other parties since there are no links between them.
But if a Third Party receives data from the external party with defective controls, that Third Party is now exposed to potential liability and disruption of operations.
If that Third Party then shares data with the Data User, the Data User is now also exposed to potential liability and disruption.
Anonos decentralised data protection technology is specifically designed for this situation, and insulates the Data User from these risks.
If the Third Party wants to use the results of processing by the Data User to relink to source data, Anonos technology also insulates the Third Party from potential liability and disruption of operations in the other direction.
Anonos patented decentralised data protection technology enables businesses to achieve desired outcomes with confidence, by protecting entire data ecosystems in both directions.
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.