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[TAGALOG] The False Positive Tax: Why Your PII Tool's...

[TAGALOG] Presidio GitHub issue #1071 documents systematic false positives. A 2024 study found 22.7% precision in mixed-language enterprise datasets.

April 3, 20268 min basahin
false positive ratePresidio precisionPII detection accuracyscore threshold configurationhybrid detection

[TAGALOG]

The Invisible Compliance Tax

PII detection tools are typically evaluated on recall — what percentage of actual PII did the tool catch? But precision — what percentage of the tool's detections are actual PII — determines the operational cost of using the tool.

A system with 95% recall and 22.7% precision catches 95% of real PII but for every real PII entity detected, it flags 3.4 false positives. In a dataset containing 10,000 real PII entities, this system generates 10,000 / 0.227 ≈ 44,000...

Handa nang protektahan ang iyong data?

Simulan ang anonymization ng PII gamit ang 285+ uri ng entidad sa 48 wika.