Policy correctness includes deployment safety
The strongest rule set is not useful if teams cannot release it without breaking production. Direct edits to a live tenant policy also make review, rollback and accountability harder.
AgenticDome uses a governed flow: a SaaS administrator publishes a starting template; the customer creates an immutable tenant draft; historical source-free metadata provides an impact projection; an authorised administrator starts a deterministic canary; and explicit promotion activates the tenant override.
The historical step is deliberately labelled a metadata projection, not an exact replay. Existing telemetry does not retain every canonical decision input. Exact future comparisons require live observe/shadow evidence from the protected runtime.
What changes when AgenticDome is in the path
A published global template is only a governed starting point. It does not alter customer decisions. A tenant revision remains non-active until it completes the available impact projection, receives the required approval, runs as a bounded canary and is explicitly promoted. Active tenant policy remains separate from the SaaS-admin template and global defaults.
A release pipeline reduces two kinds of risk
Security risk and availability risk must be reviewed together before an autonomous workload receives broader enforcement.
Observe first
Generate a least-agency starting point from bounded recent action metadata without uploading source or making live enforcement changes.
Project impact
Show how explicit tool rules would change recent allowed and blocked metadata, with the projection limits visible.
Canary deterministically
Select eligible root action chains consistently so one chain does not switch policies midway through execution.
Promote or roll back
Require an authorised tenant role to promote to 100%, and preserve rollout status and rollback reason as release evidence.
Global policy, templates and tenant policy are not the same object
Global defaults establish platform-wide fallback controls. Published templates provide approved customer starting points. Only the promoted tenant revision becomes the active tenant override distributed through the existing policy synchronization path.
How AgenticDome creates the control point
1. Publish a governed template
The SaaS administrator versions an approved starting point; publishing it does not change any tenant runtime.
2. Create an immutable tenant draft
The customer chooses guided outcomes, tools and destinations without free-form live policy editing.
3. Run the impact projection
Project explicit allow/deny tool rules over bounded historical metadata and disclose missing canonical inputs.
4. Start a limited canary
After approval, apply the candidate only to deterministically selected eligible action chains and monitor evidence.
5. Promote or roll back
Move the reviewed revision to the active tenant policy or remove candidate state and record why the rollout stopped.
What this changes for real teams
Understand what changes
“I need to know which currently allowed actions might be blocked before enforcing a new template.”
AgenticDome contribution: The draft and metadata projection remain non-active, and their limitations are shown before canary approval.
Contain rollout impact
“A policy mistake must not affect the whole agent estate immediately.”
AgenticDome contribution: A percentage and target-scoped canary limits exposure, while rollback removes candidate state and requests runtime reconciliation.
Offer safe defaults without tenant takeover
“We need governed templates but customers must retain control of their live decisions.”
AgenticDome contribution: Template versioning and tenant promotion are separate; the admin cannot accidentally activate a template by publishing it.
The risks this helps contain
| Risk | Why it matters | Public AgenticDome control |
|---|---|---|
| Direct live-policy edit | An unreviewed change can immediately block legitimate work or allow excessive agency. | Save a new immutable tenant revision and require projection, approval, canary and explicit promotion. |
| Misleading historical replay | Historical telemetry may omit arguments, context or other canonical inputs needed for an exact decision. | Label the result TOOL_METADATA_PROJECTION and use live observe/shadow evidence for exact future comparisons. |
| Chain split across policies | Changing policy midway through a delegated workflow makes behavior and evidence inconsistent. | Select canary eligibility deterministically from the root chain identifier. |
| Unowned exception | Long-lived bypasses can become undocumented permanent policy. | Keep exceptions owner-, reason- and expiry-bound, and prevent tenant overrides of non-bypassable controls when connected. |
A practical path to production
Define the outcome
State what the revision is intended to block, allow, redact or constrain before editing controls.
Review evidence limits
Separate historical metadata projection from exact live policy evaluation.
Approve by role
Require an authorised tenant role for canary and production promotion, especially for high-impact scopes.
Exercise rollback
Test candidate removal, reconciliation and operational recovery before relying on the rollout path.
Where this control ends
AgenticDome does not prove a policy is semantically correct for every business process. Historical impact projection is not exact replay, a canary does not replace testing, and automatic rollback requires trustworthy error signals and an integrated operating process. Customers remain responsible for policy ownership, approvals, business validation and recovery planning.
Current lifecycle note
Promotion should occur only when the portal, SDK/plugin, runtime image and policy schema are release-compatible. Evidence collected under a previous manifest remains evidence for that release rather than the new candidate.