Use Pseudonymisation-Enabled Processing to:
Key Business Considerations
Whether you want to share your data with third parties, or use data from someone else to enrich the value of your own data, you need to consider this process from a number of angles. The business benefits from sharing, combining and enriching data with third parties include:
The business value of data is significantly increased by sharing, combining and enriching. But, there are several risks and issues also involved. You must consider:
Key Legal Considerations
When datasets are shared, combined or enriched, privacy risks are amplified. This is because even if you have protection in place for the original dataset, when combined with other datasets, these protections can crumble. For example, traditional data protection techniques use static (or persistent) tokens to replace repeated occurrences of data values. When you have repeated occurrences of data values, this increases the risk of unauthorised re-identification via the Mosaic Effect.
When looking to share, combine or enrich data, the resulting benefits and the protection of personal data must be balanced, so that a practical way of ensuring both can be discovered.
It is difficult to rely on the legal ground of consent when combining data for secondary processing, because consent must be specific and informed. Secondary processing, combining and sharing data can be so complex, it is not possible to reasonably rely on a customer’s consent, as you cannot be specific enough for the consent to be valid.
This means that you need to rely on Legitimate Interests processing. Legitimate Interests processing provides benefits for data controllers wanting to lawfully use data for secondary processing and repurposing.
However, for Legitimate Interests processing to satisfy legal requirements, you must show that you are using “appropriate safeguards” that reduce the risk of data misuse, such as GDPR-compliant Pseudonymisation.
Anonos Pseudonymisation Technology Solution
The problem is that until now, no data protection technologies were capable of supporting Legitimate Interests processing, by reconciling the conflict between data protection and utility when processing the personal data of customers to maximise lawful data value.
For example, conventional data protection technologies that support anonymisation, encryption, static token allocation, and differential privacy:
Click here to learn what other global companies have proven – that it is possible to retain up to 100% of the accuracy of analytical value when processing datasets protected using patented Anonos Variant Twins®.
Anonos state-of-the-art Pseudonymisation technology is superior to other data protection techniques because it helps enable lawful repurposing, distributed secondary processing and data sharing while delivering data utility equivalent to processing unprotected cleartext versions of personal data.