Zero-Trust Partner Data Sharing — Collaborate Securely Across Organizations
Share sensitive operational intelligence with suppliers, insurers, clinical sponsors, and consortium partners without ever exposing underlying databases or replicating raw tables.
Cryptographic Data Clean Room Protocol
Partners receive a time-bounded cryptographic token. Laplace noise is applied to prevent reverse re-identification.
Self-Destructing Leases
Eliminate perpetual access keys. Meynos grants time-bound, cryptographically signed access leases (e.g. 24h expiration) that vanish instantly upon timer expiry.
Differential Privacy Engine
Guarantee mathematically that partner queries cannot re-identify individual consumers. Calibrated Laplace noise injection preserves aggregate analytical accuracy.
Dual-Custody Approvals
High-sensitivity queries require multi-party sign-off. Both dataset owner and partner compliance officer must approve before batch datasets are released.
Federated Medical Outcome Research Without HIPAA Breach Risks
Three university hospital networks collaborated with a pharmaceutical sponsor on oncology outcomes. Meynos Clean Rooms federated patient cohorts in-place with ε-differential privacy. Researchers executed cohort survival models without ever seeing unmasked medical record numbers or patient names.