Kamus AI
Pseudonymisation
Replacing direct identifiers such as names with codes; the data can still be traced back to the person.
For example, replacing employee names with "K-07" and keeping the code table separately. Pseudonymisation reduces risk but does not change what the data is: as long as the person can still be identified, through the code table or by combining it with other information, it is still personal data under the PDP Law. Treat it as personal data: use an approved tool and do not send the code table. Contrast it with anonymisation, which makes the person no longer identifiable.
Also called: Pseudonymisation, pseudonymization, pseudonymised data, masking, de-identification
Related terms
Appears in 15 lessons
- Masking data properly
- Client confidentiality: what must not go into AI
- Prompt library: contracts and documents
- New vendor case, part 1: facts and contract review
- Operations data that stays out of general AI services
- Financial data that stays out of the model
- Prompts for reconciliation and verification
- Customer data from orders stays out of the model
- Student data stays out of the model
- Feedback without exposing student work
- Citizens' data and excepted information stay out of the model
- Summarising meetings and public input faithfully
- Prompt library: meetings, minutes and public input
- Mini project: a communication kit for one of your agency's services
- Reviewers who probe real data, not the summary