AI governance
Control what AI can do
and how each action is reviewed.
Principles and criteria for evaluating Front End and BPA workflows. Effective controls, their coverage and limitations are evidenced through tests in the applicable environment.
Controls tied to a concrete task.
| Control | Design criterion | Example |
|---|---|---|
| Permitted actions | Define actions and approvals using controls outside model judgment. | An account request follows the authorized identity workflow. |
| Least privilege | Separate permissions by role and limit access to what is needed. | Diagnostics stay within the authorized scope and required consent. |
| Approved knowledge | Review content, sensitive information and permissions before publication. | A proposed article remains a draft until approved. |
| Traceability | Connect sources, decisions and actions through reviewable records. | A BPA conclusion retains its supporting sources and limitations. |
| Quality and oversight | Apply defined criteria and escalate when information or authorization is missing. | A request without sufficient evidence remains under attention. |
| Backup and recovery | Validate integrity and restoration using environment-specific tests. | Frequency and recovery are evidenced for the deployment. |
Evidence before claiming coverage.
Documenting a principle does not prove that a control is implemented. Assessment should review permissions, records, error handling and test results. Quality thresholds are defined for each workflow.
This page does not establish certification. Complete sensitive-data detection, absolute record immutability and universal recovery guarantees are not assumed.
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