A precise way to talk about a vague fear. If every record in a released dataset is identical to at least k−1 others on the quasi-identifiers, no one can be singled out, and k becomes a number you can argue about with a security team.
More in Privacy
- AnonymizationIrreversibly stripping data of anything that could identify a person. Unlike pseudonymization, there is no key that brings the identity back.
- CCPACalifornia privacy law giving residents the right to know what is collected about them, to delete it, and to opt out of its sale.
- Consent managementRecording what each user agreed to and enforcing it at collection, so consent is a property of the pipeline rather than a banner.
- Data minimizationCollecting only what a stated purpose needs. The cheapest way to reduce risk is not to hold the data at all.
- Data residencyThe requirement that data physically stays in a given jurisdiction. On Flex you pick the region; on Enterprise it is wherever you deploy.
- Data sovereigntyThe principle that data is subject to the laws of the country it sits in, and that you, not a vendor, decide which country that is.