Policy by workload
Current policies distinguish workload key, environment, client mode, data class, model, risk signal, and signed attributes. Provider-region enforcement and approval workflow are still required.
For financial-services teams
Build toward model-risk and spend controls without overstating readiness.
The current baseline provides OIDC, built-in authorization, model policy, hard budgets, encrypted BYOK, reason-coded decisions, and hash-chained change metadata. It is not yet certified or validated for regulated production.
Implemented model, token, identity, and spend controls
Hash-chained configuration metadata without a tamper-proof claim
Current availability stated for approvals, SIEM, key management, and private deployment
In plain language
Connect model access to identity, limits, and a reviewable decision record.
The current baseline can constrain models, workloads, request cost, rate, and signed context while recording reason-coded outcomes. It does not replace model-risk management, vendor due diligence, approvals, recordkeeping policy, or regulated deployment validation.
The readiness outcomeA controlled pilot can prove enforcement and evidence behavior before any regulated workflow is authorized.
For the operating team
Map each workload to its approved operating envelope.
Model eligibility, user/workload identity, provider account, budget, environment, and evidence retention need named owners.
What administrators configure
Model boundary
Expose approved aliases and tested routes rather than unconstrained provider catalogs.
Execution context
Distinguish interactive, planning, CI/CD, and unattended agent activity using signed attributes.
Exception path
Define approval and evidence requirements outside the gateway until native workflow is implemented.
What happens to each request
- 01Classify
Use explicit workload and data-class context; never infer authorization from a model name alone.
- 02Restrict
Limit eligible providers, models, credentials, and telemetry before the request can leave the gateway.
- 03Operate
Run the tested rule in Observe, Shadow, or Enforce according to the approved rollout stage.
- 04Review
Retain metadata evidence and administrative change history for authorized operational review.
See the working control
See which rules can act and which are still observing for financial-services policy.
For financial-services policy, scope, action, rollout mode, and priority stay visible next to the dry-run decision simulator.
- This financial-services policy view runs in the working customer console
- Exercised with safe OpenAI- and Anthropic-compatible simulators
- The financial-services policy capture excludes keys, prompt text, responses, and private email
For financial-services policy, scope, action, rollout mode, and priority stay visible next to the dry-run decision simulator.
What administrators can change
The settings behind for financial-services teams.
For financial-services teams, the console shows each setting, its owner, and its scope so administrators can review changes before they reach live traffic.
Evidence without prompt collection
Reason-coded decisions record which current control applied while gateway code avoids prompt persistence.
Operational integration
The API exposes evidence today; native SIEM, on-call, ticketing, and cloud-operations delivery are not currently included.
Evidence, not assertions
Preserve decision metadata without overstating immutability.
Hash-chained configuration metadata can reveal breaks in sequence; it is not described as a tamper-proof external archive.
Review security boundaries and current status- Model boundary: Expose approved aliases and tested routes rather than unconstrained provider catalogs.
- Execution context: Distinguish interactive, planning, CI/CD, and unattended agent activity using signed attributes.
- Exception path: Define approval and evidence requirements outside the gateway until native workflow is implemented.
Questions teams ask
Questions about for financial-services teams.
What buyers, administrators, and security reviewers need to confirm for for financial-services teams.
Is the platform ready for regulated production?
No general claim is made. A financial institution must complete its own risk, vendor, model, cybersecurity, resilience, recordkeeping, and legal review for the exact use.
Can an auditor see why a model was selected?
Current metadata records the requested model, selected target, applicable policy reasons, timing, configured estimate, and outcome for authorized review.
Does the platform provide approval workflows?
Native multi-party approvals are not yet shipped. Approval requirements must remain outside the gateway or be enforced through pre-established policy during a pilot.
Start safely
Start guided setupSee what the policy would do before it can block production.
Start with a provider connection, a limited workload key, and Observe mode; move to enforcement after your team confirms the result.