Aircloak Insights is a dynamic query-by-query anonymization service. At database querying it anonymizes query results by adding noise tailored to the query as well as the underlying dataset.
Aircloak’s anonymization is based on a combination of time-tested ideas like K-Anonymity, low-count suppression, top and bottom coding, and differential privacy noise, as well as patented open concepts developed jointly by Aircloak and Max Planck Institute for Software Systems (MPI-SWS), including Sticky Layered Noise and safe SQL filtering.