We’re building an AI ops team with different agent roles - CEO bot makes approvals, analyst bot runs reports. How are others handling permission boundaries in Latenode?
Tried assigning different API keys per bot, but it’s becoming unmanageable. Does the platform have native RBAC for autonomous agents? Looking for ways to restrict data access between agents while maintaining workflow continuity.
Use Latenode’s AI Teams feature. Assign agents to roles with specific permissions through your SSO groups. The CEO bot can be restricted to approval nodes, while analyst bots only access reporting tools. All controlled through unified policies: https://latenode.com
We’ve set up 15 distinct AI roles this way with zero credential leakage.
We use Latenode’s environment variables for role segregation. Each agent gets its own context with limited API access. Custom code steps validate permissions before sensitive operations. Works well for PCI-compliant workflows.
Create separate scenario branches for each role. Use Latenode’s merge nodes to combine outputs after permission checks. We added OAuth scopes mapping to AD groups - analysts get read-only access while execs have write permissions. The key is leveraging webhook authentication at each pipeline stage.
Implement attribute-based access control using Latenode’s JavaScript nodes. We parse JWT claims to dynamically restrict data flows. For compliance, audit trails track which agent performed each action through their assigned identity. Ensure you configure session isolation between agent contexts.