Compliance
CertForge includes built-in compliance tooling: framework assignment that enforces policy requirements automatically, an AI engine that scores approval requests for risk, and a hash-chained audit trail that can be cryptographically verified.Compliance frameworks
A compliance framework can be assigned to an org or to individual Domain Trust Profiles. When active, the framework enforces its policy requirements without manual configuration of each DTP.Supported frameworks
Assigning a framework
Go to Compliance in the navigation and select one or more frameworks. Framework requirements apply immediately to all new approval decisions in the org. A framework can also be assigned per DTP from the DTP form. Per-DTP assignment restricts enforcement to certificates issued under that profile.What frameworks enforce
Whenmandatory_approval_reason is set by the active framework:
- Every approval and rejection decision requires the approver to select a predefined reason from the dropdown before submitting
- If no predefined reasons are configured, a free-text field is required instead
- Certificate requests for longer validity are capped at the framework’s maximum
- Applies to internal CA certificates only; ACME CAs always cap at 90 days
CA/Browser Forum EKU Requirement
Chrome Root Program Policy v1.8 and the CA/Browser Forum Baseline Requirements require that publicly-trusted TLS certificates use onlyserverAuth in the X.509 Extended Key Usage (EKU) field. Certificates that combine serverAuth and clientAuth on a publicly-trusted cert are non-compliant and may be rejected by Chrome.
CertForge includes a built-in non_compliant_eku alert rule (enabled by default) that fires whenever your certificate inventory contains certs violating this requirement. The alert references the specific policy and identifies affected certificates by subject.
See Chrome Root Program EKU Enforcement in the Discovery docs for detection details and remediation steps.
AI risk assessment
When the AI engine is enabled by the platform administrator, each incoming approval request is scored automatically before approvers review it. The AI engine evaluates:- The requested domain name pattern (sensitivity, public vs. internal)
- The requested environment (production carries higher weight)
- The requesting entity’s history (prior approvals, rejections, patterns)
- The CA type and DTP settings
approval.ai_risk event.
The AI score is advisory. Approvers can approve or reject regardless of the score.
To enable AI risk assessment, contact your platform administrator. Enabling requires an AI provider API key to be configured at the platform level.