Glossary
K-anonymity
Quick answer
A privacy measure where each record is indistinguishable from at least k−1 others on identifying attributes.
It is achieved by generalizing or suppressing details, for example replacing exact ages with age bands.
It is a useful check for structured data but does not fully protect free text or prevent every inference.
Why K-anonymity matters when licensing company data to AI
K-anonymity is a privacy measure in which each record is indistinguishable from at least k minus one others on identifying attributes. It is achieved by generalizing details, such as replacing exact ages with age bands, or by suppressing rare values. It is a useful check for structured data, but it does not fully protect free text or prevent every inference, so other review steps remain necessary.
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
Related terms
Related resources
- SolutionData partnerships between businesses and AI developers
- IndustryBPO & contact centers data
- IndustryRecruiting & staffing data
- GlossaryData processing agreement
- QuestionDo AI companies buy private business data?
- QuestionIs selling company data legal?
- InsightIs it safe to license company data for AI training?
- InsightHow is company data anonymized before AI training?
- InsightHow to remove sensitive details from business data for AI training
- SolutionData licensing: granting defined rights to use your data
- DataSales and CRM data
- DataLegal and contract data
See if your company qualifies
A short company assessment. No data uploads are needed.