Sampling & extrapolation
Argus samples a fraction of each datastore and extrapolates to the whole, so you get reliable exposure estimates without scanning every object.
How files are prioritized
Section titled “How files are prioritized”A weighted scoring model considers file path, name, size, content-type hints, and bucket tags. A LightGBM classifier trained on labeled examples ranks files by likelihood of containing sensitive data.
Fair coverage
Section titled “Fair coverage”Adaptive limits cap scan time per bucket. Stratified sampling ensures fair coverage across prefixes, so no large prefix is left unscanned.
Formats
Section titled “Formats”Record-aware sampling for structured data (CSV, JSON, XLSX); stratified content sampling for unstructured (PDF, DOCX, TXT).