Banks, asset managers, and fintech companies processing client data, executing proprietary trading models, or building AI services on sensitive transaction histories — in environments where regulators require demonstrable data controls.

Hospitals, insurers, and pharmaceutical companies sharing patient records, running diagnostic AI, or collaborating on clinical trial data — with technical guarantees that satisfy HIPAA, GDPR, and national health data frameworks.

Law firms and consultancies handling privileged client communications, sensitive M&A documentation, or multiparty collaboration environments where confidentiality must be technically enforced, not just contractually assured.

Organizations training models on sensitive proprietary data, running inference services where model IP must be protected, or participating in federated learning initiatives where training data cannot be exposed to other parties.

Agencies requiring full data sovereignty, compliance with national security frameworks, or the ability to run sensitive public-sector workloads in cloud environments without environments without creating dependency on foreign cloud operator access.

Any scenario where two or more organizations need to collaborate on sensitive data or run joint computations without exposing raw data to each other's infrastructure — enabling secure data clean rooms and privacy-preserving analytics.