Privacy & Data Protection
Anonymization
Anonymization irreversibly removes the link between data and identifiable people. Done properly, the data exits privacy-law scope — a high bar that casual name-stripping doesn't meet.
Anonymization transforms data so individuals can no longer be identified by any reasonably-available means — irreversibly. Truly anonymized data generally falls outside privacy statutes, which is why the bar is high: removing names while leaving rare combinations (job title, employer, city) is not anonymization, it's a re-identification puzzle.
Most practical AI workflows use pseudonymization or redaction instead, which reduce risk while remaining regulated. Claims that a dataset or an AI vendor's telemetry is "anonymized" deserve scrutiny of method, not just the word.
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Sanitized AI inventories the AI tools in use and redacts sensitive data from prompts before it leaves.