Data Governance & Access
How is multi-tenant isolation handled for AI agent deployments?
Catalyst enforces multi-tenant isolation for AI agent deployments. It relies on tenant-aligned, scoped resource partitions, leverages Dapr’s native multi-tenant security controls to isolate tenant-specific workflow execution state, allocated compute and storage resources, access paths, and ties these to granular role-based access control policies plus cloud infrastructure safeguards to block unintended cross-tenant workload interference. Proper, consistent policy configuration across all individual tenant workload deployments is required to sustain effective isolation.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Data Governance & Access
How do I enforce least-privilege access for AI agent credentials?
Configure granular least-privilege access limits for AI agent credentials using Catalyst’s integrated security tools aligned with Dapr standards.
- Data Governance & Access
How does Catalyst isolate AI agent workspaces and tenants?
Secure production-grade AI agent workspaces and tenants with Catalyst’s Dapr namespace partitioning, dedicated state storage, granular RBAC
- Data Governance & Access
Where is AI agent workflow state stored with Catalyst?
Understand where AI agent workflow state is stored when using Catalyst, including options for customer-managed storage backends integrated via Dapr.