Introducing NeMo Anonymizer: Text Anonymization for the Reasoning Era
Picture this: you ship a year of customer support transcripts to a vendor for model fine-tuning. Names, emails, phone numbers, account IDs — every identifier you can think of — stripped. A week later, the vendor's eval team flags a transcript and identifies the account: the customer who escalated repeatedly after a regional outage last spring, then quietly churned a month later.
You didn't leak a name.
You leaked a fingerprint.
The escalation pattern, the region, the churn timing — combined, they point to one account. This is the privacy problem that text anonymization actually has to solve in 2026, and it's the problem NeMo Anonymizer — Anonymizer, for short — is built for.