Designed for industries where trust is critical

Enable fraud detection and risk analysis across banks without sharing raw data. Ensure compliance with cross-border data regulations

Run AI models on encrypted client data without exposing raw financial history

Identify anomalous behavior in encrypted transaction logs

Perform scenario simulations across jurisdictions without moving or decrypting sensitive data

Enable federated learning across or within banks without
sharing proprietary customer data

Unlock genomic research and AI-driven diagnostics while protecting patient privacy and meeting strict compliance

Hospitals/clinics deploy inference models on encrypted
patient data

Analyze encrypted genomic data for personalized medicine
without exposing raw sequences

Share AI results (not data) across institutions and countries

ML models predict health deterioration trends from encrypted IoT/device data

Protect intellectual property, maintain a transparent supply chain, and deploy AI—from the factory floor to the cloud—under a native Zero Trust security posture

Score encrypted telemetry (PLC/historian) on vendor or cloud infra – no raw sensor data leaves the plant

Run defect/label/fill-level detection on encrypted frames; output only pass/fail and coordinates- protects products, processes, and people

Optimize process parameters under encryption; no exposure of recipes, strains, or lab results

Calibrate models on encrypted sensor/lab data; keep experimental datasets and model IP confidential

Safeguard mission-critical data, accelerate decision cycles, and uphold Zero Trust principles – without ever exposing classified information

AI runs on imagery data without exposing classified visuals

Analyze encrypted logs/communications for cyber or kinetic threats

AI model collaboration without revealing source data between allies

Perform facial/object recognition on encrypted battlefield or surveillance inputs

Explore how Wodan AI fits your industry