Tenant isolation
Separate runtime state for employees, teams, and agents.
Security and Governance
Keep every AI agent inside a controlled runtime boundary
Bewize handles AI agent security and governance through tenant isolation, runtime identity, managed secrets, access controls, policy APIs, storage boundaries, browser sidecar isolation, evaluation evidence, and redacted metrics. These are specific operating controls, not a blanket security or compliance guarantee.
How does Bewize govern enterprise AI agents?
Bewize governs enterprise AI agents by separating tenant runtime state and giving operations teams policy, secret, access, storage, and launch controls. The current source-backed implementation includes per-tenant runtime isolation, one Unix user per tenant in production provisioning, managed secrets, tenant environment secret APIs, agent policy APIs, access blocking, restricted rsync access, and tenant-safe launch patterns.
Managed secrets
Keep tenant credentials under central operational control.
Policy APIs
Control features and runtime behavior centrally and per tenant.
Claim boundary
Public copy should name concrete controls and avoid unsupported claims such as certifications or absolute security guarantees.
Operational outcome
Enterprise adoption can scale without merging agent identities or private state.
Secret metadata without secret exposure
Hermes Hub manages tenant OAuth secret metadata and environment keys through its API-first control plane and focused operator console. Public claims stay specific to source-backed API and runtime behavior.
Managed secret metadata
The UI shows name, scope, provider, status, next refresh, and refresh/delete controls.
Tenant env keys
Operators can write tenant environment keys while the stored value is not rendered back into the UI.
Tenant scope
Secrets and environment keys are shown against the selected tenant boundary.
Redaction proof
Source-backed checks keep raw secret values out of returned API metadata.
Operational outcome
Operations can manage tenant credentials without introducing a graphical admin surface where secret values are casually copied.
Discuss agent governance
Architecture conversation
Tell us what your team needs to control
Share your deployment boundary, number of agents, work surfaces, and governance requirements. We will reply by email to arrange a focused technical discussion.
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