How Industry
Benchmarking Works

Anonymous Data Collection

When organizations complete an assessment and opt into benchmarking, their scores are anonymized before being added to the benchmark pool. Raw organizational data is never shared. Only processed, normalized scores enter the aggregation layer.

Aggregation Process

Anonymized scores are aggregated weekly. Each aggregation run recalculates industry averages, quartile distributions, and percentile breakpoints using the current benchmark population. Minimum pool sizes are enforced to prevent de-anonymization.

Industry Classification

Organizations are classified by industry vertical (Dental, Medical, Hospital, ASC, Financial Advisory, Law Firm) and location count tier (1 / 2–10 / 11–50 / 51–250 / 250+). Benchmark comparisons are always made within the same classification.

Percentile Rankings

Each organization receives a percentile rank within their classification. A 75th percentile rank means the organization scores higher than 75% of peers in the same vertical and location tier. Rankings are recalculated on each benchmark refresh.

Trust Index Calculation

The industry Trust Index is the median composite AI Trust Score among all benchmark participants in a classification. It is updated weekly and displayed on Trust Index pages as the industry baseline for comparison.

Governance Index Calculation

The Governance Index is the median governance domain score across benchmark participants. It reflects the industry's average maturity in policy documentation, oversight structures, and incident response infrastructure.

Risk Index Calculation

The Risk Index is an inverted aggregation—representing the industry's median vendor risk and operational exposure score. Higher Risk Index scores indicate industries with more documented, managed risk programs.

Data Privacy Protections

ZYNAGI enforces strict privacy controls across all benchmark operations: email-based identity is hashed before storage, minimum pool sizes prevent inference attacks, no raw organizational data is shared with any third party, and benchmark data is never used for commercial purposes other than improving ZYNAGI's scoring models.