Encrypted data handling
Data flows are designed for encryption in transit and at rest across ingestion, processing, storage, and application access.
Security and governance
Hotel financial, operational, employee, and guest information is sensitive. UnifiedIQ.AI treats security as part of the operating model—from ingestion through recommendation, access, retention, and deletion.
Product safeguards
These principles guide the product architecture. Exact hosting, contractual controls, and client-specific requirements are confirmed before production launch.
Data flows are designed for encryption in transit and at rest across ingestion, processing, storage, and application access.
Access is scoped to the authorized account, portfolio, property, and operating context, with roles agreed during onboarding.
Customer information is logically separated by tenant and application scope to reduce the risk of cross-client access.
Recommendations can retain their supporting evidence, target context, model output, confidence, and user response.
Retention periods, data return, and deletion requirements are defined with each client and reflected in the applicable agreement.
Hosting architecture, regional needs, backups, and operational responsibilities are confirmed during technical review.
Before production use
Security review should make the operating model explicit for both teams. These items are confirmed during solution design and procurement.
Model-provider processing, retention, and training restrictions are documented before production use.
Hosting region and relevant infrastructure or AI providers are reviewed with the client.
The retention schedule, export requirements, and deletion process are agreed in advance.
Administrative responsibilities, access reviews, and security contacts are established during onboarding.
Claims stay verifiable. Certifications and contractual controls are presented only when complete and available for client review.
Have a security requirement?