Clariden is designed for organizations operating in regulated and security-conscious environments. Our platform architecture emphasizes data isolation, controlled access, traceability, and minimization of customer data exposure throughout evaluation workflows.
Clariden is designed to evaluate internal documents, procedures and records without requiring organizations to contribute proprietary materials to shared training datasets. Customer documents and evaluation data are logically isolated and handled within controlled processing environments.
Customer documents, procedures, records and uploaded materials are not used to train public foundation models or shared datasets. Clariden is designed to support regulated organizations that require strict separation between operational data and AI model development workflows.
Evaluation outputs are grounded in source material and structured mappings between regulatory requirements and customer documents. This supports: reviewability, validation, audit traceability and reproducibility of findings.
Access to customer environments and operational systems is restricted according to least-privilege principles. Administrative access is limited and monitored.
Customer data is encrypted in transit using TLS and encrypted at rest using industry-standard encryption mechanisms provided by infrastructure vendors and cloud platforms.
Clariden utilizes established infrastructure and platform providers for compute, storage and operational services. These providers maintain independent security and compliance programs aligned with industry standards.
Clariden’s architecture is designed to minimize unnecessary exposure of customer materials during evaluation workflows. Where possible: regulatory sources are pre-structured and curated independently, evaluation pipelines separate regulatory modeling from customer document analysis, and customer-specific materials remain isolated from shared system knowledge
Clariden is designed around structured evaluation rather than broad collection of organizational data. Organizations retain control over: uploaded materials, retention policies, evaluation scope, and regulatory sources used for analysis.
Clariden may utilize third-party infrastructure, document processing, embedding, orchestration or AI model providers as part of system operation. Customer data handling is governed through vendor agreements, platform controls and architectural separation principles designed to reduce unnecessary data exposure.
Clariden is designed to support human review, compliance evaluation and audit preparation workflows. Evaluation outputs should be independently reviewed and validated by qualified personnel before operational, regulatory or legal reliance.
For security inquiries or responsible disclosure matters: security@clariden.ai
