Public Methodology
Protection Benchmark
We publish benchmark trends so customers can track protection effectiveness over time. Full raw artifacts stay private to preserve security and model integrity.
PISR (Current)
0.0%
Baseline run, n=6 transformed variants
Quality Pass Rate
16.7%
Guardrail against visible degradation
Last Updated
March 7, 2026
Expected weekly cadence
How We Measure
Transform Suite
Protected images are tested against a fixed set of post-upload transforms (resize, recompress, crop, thumbnail, metadata strip).
Primary Metric
PISR tracks the percentage of transformed images that remain non-matchable by selected facial-recognition evaluators.
Quality Guardrail
We only promote policy changes if protection improves without dropping below image-quality thresholds.
Transparency Scope
- Published: metric trends, methodology summary, benchmark versioning.
- Not published: raw per-image outputs, full transform parameters, policy tuning logic.
- Reason: protect user privacy and prevent adversarial reverse-engineering.