Identity and runtime
Give each tenant an explicit identity and runtime boundary with owned lifecycle state.
Tenant isolation
How do I isolate tenants in an AI agent platform?
Isolate tenants in an AI agent platform by separating runtime identity, workspace, credentials, storage, policy, sessions, logs, schedules, and access state for each tenant. Bewize Hub applies that model to managed AI worker runtimes with tenant-scoped control-plane records and operational evidence; it does not replace a buyer's own security evaluation.
What to separate
Tenant isolation is a set of boundaries, not a single checkbox.
Data and credentials
Separate workspace, storage, environment keys, managed secret metadata, sessions, and logs.
Policy and access
Keep policy and access state tenant-aware, then inspect evidence after operational changes.
Isolation references
Security model
Review tenant isolation, managed secrets, policy APIs, access blocking, and redacted metrics.
Learn more →Bewize Hub
See tenant lifecycle, storage, schedules, A2A edge access, and run evidence.
Learn more →Deployment boundary
Plan host, release, storage, secret, and recovery ownership.
Learn more →AI agent tenant isolation FAQ
Is separating prompts enough for tenant isolation?
No. Isolation should cover identity, runtime state, workspace, credentials, storage, policy, sessions, logs, schedules, and access state.
How can operators investigate one tenant?
Use tenant-scoped run history, schedules, usage evidence, access state, and redacted metrics rather than one undifferentiated activity stream.
Does tenant isolation by itself prove compliance?
No. It is one operating control; compliance and security conclusions require the buyer’s broader evidence and review.
Evaluate tenant isolation
Discuss runtime, data, credentials, policy, access, and evidence boundaries for managed agents.
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