Identifiability Analysis (LINDDUN I)

Analyze source code for identifiability threats where individuals can be identified from supposedly anonymous data. Combinations of quasi-identifiers (zip code, birth date, gender) can uniquely identify individuals. Re-identification attacks on "anonymized" data are the primary concern.

Supported Flags

Read ../../shared/schemas/flags.md for full flag documentation. This skill supports all cross-cutting flags.