Identity and access
Define who or what may read a message, use a field, invoke a Companion, approve an action, or change configuration.
Security is not one global switch. Each Inbox governs a defined flow of business messages with its own data contracts, access, purposes, actions, approvals, retention and AI conditions. The result is precise control where the work happens, with evidence that can support security and regulatory accountability.
One platform, precise boundaries
Every Inbox belongs to a project and has its own configuration, settings, reusable templates, and traceable business-message records. This lets a Customer Inbox protect consent and identity differently from a Finance, Agent or Workflow Inbox, while all remain part of one governed runtime.
Define who or what may read a message, use a field, invoke a Companion, approve an action, or change configuration.
Bind schemas, sources, classifications, consent, purpose and permitted use to the operating context where they belong.
Allow, reject, route, redact, escalate or require human approval according to the message and its business risk.
Control which external capability may receive which context, for what task, through which approved provider or private endpoint.
Set retention and deletion conditions and preserve the message, policy decision, AI involvement, approval and outcome needed for review.
Match the runtime, data location and infrastructure model to organisational, contractual and regulatory requirements.
NIS2 calls for appropriate and proportionate technical, operational and organisational risk measures. Per-Inbox policy helps translate that broad requirement into access rules, incident paths, supplier restrictions, continuity choices, change controls and traceable evidence for a defined operation.
AI Act duties depend on the system, role and risk category. An Inbox can preserve intended purpose, permitted data, model or provider eligibility, human oversight, logging and result handling around each AI-enabled process. That creates operational evidence for a wider compliance programme.
These controls can support a compliance programme. They do not replace risk assessment, legal interpretation, organisational measures, contracts, incident procedures or independent assurance.
Controlled change
DataInbox configuration can be inspected and validated before it is applied. That creates a safer path from policy intent to runtime behaviour and gives reviewers a clear boundary for each change.
Model the messages, fields, identities, purposes, roles, actions and exceptions for one operating context.
Check configuration and templates before they can become part of the runtime.
Review the intended change and its scope instead of replacing policy as an opaque update.
Test the proposed configuration against the expected operation before applying it.
Activate the approved configuration and retain traceable message and decision records.
Infrastructure choice
The current managed SaaS runtime configuration is hosted on DigitalOcean. Deployment can also be designed around selected data-centres, regions or customer-controlled infrastructure, based on the agreed architecture, operational model and service scope.
Security FAQ
Every Inbox is a configuration and policy boundary for a specific operating context. It can have its own schemas, permissions, allowed sources, actions, approvals, retention conditions and Companion eligibility. Shared platform and infrastructure controls still apply underneath it.
No product creates compliance by itself. DataInbox provides configurable controls and operational evidence that can support NIS2, AI Act, GDPR and internal policy requirements. Applicability and compliance depend on the organisation, use case, configuration, contracts, procedures and legal assessment.
The current managed SaaS runtime configuration is hosted on DigitalOcean. Other deployment arrangements can be designed around selected data-centres, regions or customer-controlled infrastructure, subject to the agreed architecture and service scope.
An Inbox can restrict AI work to approved Companions and permitted fields. A private or local AI endpoint can be selected for sensitive tasks when that endpoint and deployment are part of the approved architecture.