Data Governance & Access
How do I enforce least-privilege access for Catalyst-managed AI agents?
Catalyst enforces least-privilege access for its managed AI agent workflows using Dapr-native IAM bindings. It ties each agent’s distinct, workload-specific identity to narrow, resource-specific policies that restrict access only to approved internal and external data stores and permitted operational actions, preventing unnecessary over-permissive credential usage across their assigned workflows. This setup requires pre-configured underlying infrastructure permissions and does not remediate externally misconfigured policy overrides.
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.
