Is data retained?
Define what is stored, for how long and how it is deleted.
From data handling and hosting regions to access control,
define the data boundaries of your AI service.
Inputs, model outputs and operational logs may be handled differently.
Define how each is used and retained before integration.
Define what is stored, for how long and how it is deleted.
Establish the position under provider terms and your project agreement.
Define log fields, access permissions and sensitive information handling.
Assess residency requirements across model services, applications, logs and backups, not just the location of your primary infrastructure.
Australian hosting does not by itself mean all data stays in Australia. Logs, backups and third-party processing paths also need to be assessed.
Scope controls and responsibilities around the actual deployment.
Define endpoints, transport protection, key ownership and rotation, and the response to unusual access.
Map connections between applications, gateways and models, including public, private and third-party network boundaries.
Define shared or dedicated resources, runtime permissions and the data boundaries between workloads.
Agree which activities are recorded, who can access records and how incidents are notified and managed.
Scope controls around data sensitivity, team structure and operational requirements.
Assess the fit of shared services, dedicated resources or independent deployment.
Define access for people, systems and service accounts.
Agree export, retention, deletion and end-of-service arrangements.
Share your data sensitivity, residency needs and internal policies.
We can define a practical service scope together.
Commitments are set out in the final service and data processing agreements.