ARM’s Synthetic Data methodology creates an “artificial” copy of client data for secure, anonymized, statistically relevant data monetization products. The Synthetic Data output removes all privacy sensitive data and cannot be reverse engineered back to the source data set…not even by us!
Why is Synthetic Data Safer?
Because Synthetic Data is an “artificial” copy of the source data there is no privacy information (PII) or other sensitive characteristics remaining in the data set, so it’s safe to share. Synthetic Data retains the statistical attributes of the source data, which makes it so valuable for monetization.
As data privacy laws and regulations such as GDPR, CCPA, and GLBA crowd the industry landscape, ARM’s Synthetic Data methodology will keep client data safe and compliant.
No Personal INformation
Compliant with data privacy regulations
Easy path to monetization
Answering the Call for Privacy Protection
Synthetic Data is the new standard in safely sharing and analyzing data while fully protecting individual privacy. At its core is the same differential privacy technology used by such high-profile organizations as the NSA, Chase, and Apple, the latter of which has documented that it uses “Differential Policy technology to help discover the usage patterns of a large number of users without compromising individual privacy.”