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Canadian AI Data Residency and Architecture Guide
Data residency describes where information is stored or processed, but a system’s real boundary also includes model APIs, logs, backups, support tooling, identity and subprocessors.
Planning context
Why this decision deserves structure
Data residency describes where information is stored or processed, but a system’s real boundary also includes model APIs, logs, backups, support tooling, identity and subprocessors.
Guide section
Map the complete data flow
Follow information from collection through preprocessing, model inference, retrieval, logging, backup, analytics, support and deletion. Record which organization operates each component.
Guide section
Distinguish residency from control
Canadian hosting may support contractual or governance objectives. It does not by itself determine who can access the system, whether it is secure or whether the organization complies with applicable law.
Guide section
Compare operating models
On-premise increases direct infrastructure responsibility. Canadian hosting can offer managed operation and distributed access. Hybrid architecture routes workloads according to sensitivity and required capability.
Guide section
Review connected services
A Canadian-hosted application can still use global identity, email, analytics, monitoring or model services. These material transfers should be visible in the architecture and vendor review.
Guide section
Maintain evidence over time
Providers, subprocessors, models and configurations change. Assign an owner for architecture records, access reviews, incident response, retention and periodic reassessment.
Use before procurement
Working checklist
- Data-flow and system-boundary diagram
- Information classification and approved uses
- Hosting, backup and support locations
- Provider and subprocessor register
- Identity and administrator access
- Retention, deletion and recovery practices
- Qualified legal and privacy review where required
FAQ
Questions about this topic
Does Canadian hosting guarantee compliance?
No. Compliance depends on applicable obligations, contracts, safeguards, configuration and operation.
Is on-premise automatically more secure?
No. It provides a different control model and also creates patching, monitoring, backup and physical-security responsibilities.
Can a hybrid system keep sensitive work private?
It can route selected information and tasks to a controlled environment while retaining approved cloud capability, provided the routing and integrations are verified.
Implementation support
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