School policy
Define the baseline for all students and teachers.
Safety governance
AI should start with boundaries, not after-the-fact cleanup
Kids Protected AI supports scoped policies, risk rules, tutor mode, sensitive-data handling, and audit logs so schools can scale AI use with control.
Policy scopes
3
School, grade, and class policies can inherit or customize rules.
Actions
6
Allow, audit only, warn, tutor, redact, or block.
Events
Auditable
Log user, rule, category, action, and excerpts.
Student protection
Real time
Handle direct-answer, privacy, unsafe, and sensitive requests.
Policy inheritance
Set whole-school standards, then tune by grade or class.
Administrators can control chat, attachments, image analysis, image generation, video generation, daily messages, daily cost, image limits, and video-second limits.
Grade policy
Adjust access and limits by age group or teaching plan.
Class policy
Customize rules for pilots, special courses, or class needs.
Reset inheritance
Return a scope to its default policy without rebuilding data.
| Policy item | Status | Meaning |
|---|---|---|
| Text chat | Enabled | Students can use AI within authorized boundaries. |
| Daily cost | Limited | Control spend by class or grade. |
| Direct answers | Tutor mode | Convert answer-seeking into guided learning. |
| Sensitive info | Redact/block | Reduce exposure of personal data. |
Risk handling
Safety rules can guide learning, not just block it.
For jailbreak, privacy, sensitive information, direct-answer cheating, and unsafe image prompts, Kids Protected AI can apply an action based on severity.
Tutor mode
When students ask for final answers, AI switches to prompts, questions, and guided reasoning.
- Preserve learning support
- Reduce answer outsourcing
- Keep events visible to teachers
Redaction and blocking
For sensitive data or high-risk content, the system can redact, warn, or block before provider calls.
- Protect student information
- Reduce unnecessary model exposure
- Support audit and traceability
Safety audit
Policy events include user, session, message, rule, category, action, and whether the model was called.
- Leadership can review safety trends
- Teachers can identify class risks
- IT can debug rule matches
Data governance
Local deployment lets schools design safety policy and data boundaries together.
For school-local or school-controlled environments, Kids Protected AI can align logs, attachments, reports, and model request flow with the school's governance requirements.
| Governance goal | Deployment support |
|---|---|
| Data control | Plan data and log locations around school requirements. |
| Model access | Use Gateway to centralize model APIs and availability. |
| Audit trail | Keep policy events, usage, and reports traceable in the platform. |