Data Handling & Security

Evidentity processes data needed to deliver recommendation-readiness infrastructure, monitoring, diagnostics, structured AI-facing outputs, and related managed service operations. Data handling is limited to defined service tasks, authorized workflows, and legitimate operational requirements.

Evidentity applies a controlled, scope-specific approach to data handling. Service data is processed only to the extent needed to deliver the relevant infrastructure, monitoring, reporting, and support functions.

• Data intake is limited to business-relevant operational and service information.
• Processing supports canonical profile construction, AI-facing truth-layer outputs, monitoring, diagnostics, and related managed workflows.
• Changes to operational data and trust-layer outputs are handled through controlled service routines rather than ad hoc modification.

Access to service data and operational systems is limited to personnel and systems that require it for service delivery, support, maintenance, or authorized operational tasks.

• Access is granted according to role and task relevance.
• Evidentity maintains internal accountability for operational actions affecting service workflows and production outputs.
• Access changes are handled as part of onboarding, role changes, and service transitions.

Evidentity applies reasonable administrative, technical, and operational measures designed to protect service data and maintain service integrity.

These measures may include, as appropriate to the service context:

• role-based access control;
• credential and access discipline for authorised systems and personnel;
• controlled production workflows and change handling;
• infrastructure and service-provider controls appropriate to hosting and managed service delivery;
• logging, diagnostics, and operational review processes that support reliability, traceability, and issue response.

Evidentity's infrastructure layer focuses on canonical truth structuring, AI-facing publication surfaces, monitoring, diagnostics, and recommendation-readiness operations. It does not operate as a universal controller of independent third-party platforms or external recommendation systems.

Service delivery may rely on selected third-party providers for hosting, database infrastructure, communications, analytics, and related operational tooling. These dependencies are chosen and managed to support continuity, service quality, and operational reliability.

Current provider references include Cloudflare and Supabase, together with related communications and infrastructure tooling used to deliver the service.

Evidentity treats trust-layer outputs and related recommendation-readiness assets as operational service components. Changes are handled through controlled workflows so diagnostics, monitoring, and downstream interpretation remain stable, attributable, and interpretable over time.

Evidentity's role is to operate the client-side infrastructure and monitoring layer that supports clearer recommendation readiness, stronger trust conditions, and more resilient recommendation control for client businesses.

Independent AI assistants, search products, maps, OTA platforms, directories, and other third-party environments continue to evolve on their own release cycles. Evidentity's role is to keep client-side truth layers structured, consistent, and operationally resilient within that external market reality.

Security contact: [email protected]

For incident, security, or data-handling requests, please include your organisation name, relevant system or service context, and urgency level to support faster triage and response.