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Protegrity-PII Technical Report

2026-10-21 22:56:18
Hardeep Bassi, Hui Ma, Lu\'is Seabra, Koowum Joshi, Daniel Pereira, Averell Gatton
arXiv_CL
     
Abstract

We present Protegrity-PII, a new PII decision model for structured and unstructured text. Protegrity-PII achieves a typed recall of 0.915 with a precision of 0.907 on a new benchmark we propose, PII-SCOPE. Our model processes text in 0.49 seconds per million characters at \$0.0005 per million characters on a single RTX 6000 using batched inference. Due in part to the expansive nature of the entity type taxonomy used in training, Protegrity-PII achieves superior out-of-distribution generalization when benchmarked against a selection of state of the art models and datasets.

Abstract (translated)

URL

https://arxiv.org/abs/2610.30518

PDF

https://arxiv.org/pdf/2610.30518.pdf

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