Design identity, access, evidence, workflow authority, deployment, telemetry, and change controls into the operating model instead of treating governance as an afterthought.
Security is part of the deployment and workflow model: customer identity, explicit agent boundaries, isolated data, and deliberate model updates.
Run Vassure Ai in your cloud or on-premises while keeping infrastructure and identity inside your control boundary. External services are enabled only where the customer approves them.
Customer-branded workspace
Native IAM integration
Containerized deployment
Cloud-agnostic architecture
Control active
Vassure Ai integrates with customer-managed identity so user access, sessions, and workforce policies remain under the organisation's control.
Customer identity provider governs sign-in and MFA
Workload identities separate services and agents
Least-privilege roles scope each user's access
Branding, deployment, configuration, support, and scale are defined around the customer's approved architecture and operating model.
Deploy in the customer's cloud account or on-premises environment according to the approved architecture.
Configure customer branding, workspace language, and user journeys around the approved use case.
Choose customer-managed operation or contracted VassuTech support within the agreed control boundary.
Size workloads against the approved architecture and validated performance evidence for the target deployment.
Walk through your data boundary, identity model, integration needs, and operating controls with the Vassure Ai team.
Carry configured user, role, tenant, and data scope into retrieval, tools, workflows, and administration.
Pause sensitive actions for review and approval while retaining the context behind each decision.
Version models, workflows, permissions, and releases so operating changes remain deliberate and reversible.
Define boundaries
Set deployment, identity, data, tool, action, and retention constraints.
Enforce in workflow
Apply those controls at retrieval, execution, approval, and administration points.
Review and improve
Use evidence and operational signals to revise controls through governed change.
Walk through the relevant data, workflow, governance, and deployment boundaries with the Vassure Ai team.
