BigPrivacy in 3 Minutes
State of the Art in Data Protection by Design & by Default

Overview
Introducing the new State-of-The-Art in Data Protection by Design and by Default, Anonos BigPrivacy Variant Twins. Until now, companies had to choose between either data protection or data utility, with a ladder frequently winning at the expense of the former. With Anonos BigPrivacy Variant Twins, companies can instead achieve data driven business growth, confident that they have in place the necessary technical controls to pursue compliant use of data. BigPrivacy is installed software behind your firewall, and on your hardware, on prem or in your private cloud. It is accessed using a web services API and powered by enterprise grade technologies including Spark, Cassandra, MongoDB, and Cryptex. To integrate seamlessly with your data wherever it resides, weather and data lakes data warehouses, relational databases, or flat files, using direct connect or existing ETL tools and data pipelines. BigPrivacy creates privacy respectful data assets called Variant Twins. Variant Twins embed technical controls that enable selective disclosure by revealing only the information that is necessary for a specific use case, and ensuring data privacy, but concealing information that is not.

Variant Twins are created in three simple steps:

Step One: ingest source data into BigPrivacy

Step Two: configure privacy actions used to transform data and create the Variant Twin

Step Three: retrieve the Variant Twin.

BigPrivacy delivers GDPR compliant Pseudonymisation. Data transformed to separate information value from identity, while retaining information stored separately that enables control relinkability to the original values when authorized. But Anonos BigPrivacy delivers much more. By enhancing GDPR Pseudonymisation with standard anonymisation techniques, Anonos’ patented controlled relinkable, dynamic de-identifiers and reidentification risk management. BigPrivacy delivers Variant Twins, privacy enhanced data assets, that deliver the resistance to reidentification of anonymous data, while retaining the lawful control relinkability of Pseudonymised data and preserving 100% of the accuracy and the full utility of source data, which activate express statutory benefits of GDPR Pseudonymisation and enable lawful secondary processing.

Anonos BigPrivacy VariantTwins, the new State-of-The-Art in Data Protection by Design and by Default.
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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

Roadblocks
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
Access
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
Process
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?
Unlawful
Activity
Are you unable to defend the lawfulness of your current data processing activities, or data processing you have done in the past?
THE PROBLEM
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.
THE SOLUTION
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.