Industry pages for regulated and high-sensitivity environments.

These pages describe how privacy, governance, routing, and delivery requirements differ across healthcare, finance, legal, and research environments.

Industry categories

Each page covers a domain with more specific confidentiality, governance, or regulatory requirements.

Healthcare

Secure patient-adjacent AI workloads with HIPAA-ready controls

For healthcare engineering teams requiring rigorous privacy compliance and verifiable boundaries before clinical or operational context leaves the environment.

Automated payload redaction before external provider egress
Technical architectures designed for healthcare compliance workloads
Transparent governance boundaries for cross-functional clinical teams
Explore healthcare workflows

Finance

Enforce strict zero-trust perimeters for financial AI traffic

For fintech and banking platform teams securing regulated, confidential, or commercially sensitive data streams against unauthorized model ingestion.

Deploy a robust, non-bypassable boundary before model providers
Implement real-time spend analytics and SLA-driven routing
Provide technical assurance to compliance and infosec stakeholders
Explore finance workflows

Legal

Maintain attorney-client privilege across all AI deployments

For legaltech operators ensuring that highly privileged, confidential, or matter-specific records never fall outside of strict organizational control.

Block direct, unmonitored prompt transmissions to third-party APIs
Maintain cryptographically verifiable audit logs for sensitive operations
Standardize secure AI integrations within legal operations teams
Explore legal workflows

Scientific and R&D

Protect proprietary IP and confidential research computation

For specialized labs and technical teams preventing the leakage of proprietary datasets, unpublished results, and intellectual property.

Isolate sensitive research contexts behind strict egress policies
Architect predictable, scalable execution paths for data-heavy pipelines
Prevent accidental ingestion of trade secrets by public LLMs
Explore R&D workflows