Role-Based Access Control for humans and agents
Blog post from Modal
Modal has introduced Role-Based Access Control for Team and Enterprise customers to help organizations govern both human and AI agent access as agents increasingly deploy code and manage infrastructure autonomously. The system uses Environments as isolated workspace subdivisions with separate applications, storage, secrets, usage data, and resource limits, supporting structures such as development, staging, production, or dedicated environments for individual developers, changes, customers, and agents. Restricted Environments provide stricter boundaries by making workspace members read-only by default, allowing only explicitly assigned users or service accounts to manage resources, limiting access to logs and secrets, and preventing resources from being accessed outside their environment. RBAC also integrates with audit logs to record activity, and Modal plans to expand the capability with agent spending and time limits, programmatic permissions, resource-level controls, and restricted environments as the default model.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Secrets Management | 3 | 2,324 | 403 | 114 | +18% |
| AI Agents | 1 | 5,657 | 1,451 | 270 | -3% |
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