Child Safety Infrastructure

Protect what matters most.

Reality Fidelity infrastructure for AI systems that safeguard children online.

The Problem

Current child safety AI systems face critical challenges:

False Confidence

Systems emit classifications without acknowledging uncertainty or missing context.

Context Blindness

Age, platform norms, and cultural context often ignored in risk assessments.

Audit Gaps

Decisions lack traceable provenance for regulatory compliance and appeals.

Design Posture

Our child safety infrastructure is built on four principles:

Halt-on-Incomplete

Processing stops when required signals are missing — no forced classifications.

Age-Aware Sensitivity

Severity multipliers scale based on age bands, with highest protection for youngest users.

Oracle Provenance

Every detection traces to verified source classifiers with confidence bounds.

Human Escalation

High-severity cases route to trained reviewers with full context packages.

How It Works

The signal flow through our child safety infrastructure:

1. Content ingestion with metadata extraction
2. Completeness gate: verify required signals present
3. Age band determination and severity multiplier
4. Multi-oracle classification with confidence scoring
5. Provenance packaging for audit trail
6. Action routing: escalation, flagging, or pass-through

Risk Domains

Coverage across child safety risk categories:

CSAM Detection

Child sexual abuse material identification

Severity: Critical

Grooming Patterns

Predatory behavior identification in communications

Severity: Critical

Self-Harm Content

Detection of self-harm promotion or encouragement

Severity: High

Age-Inappropriate Content

Content unsuitable for specific age bands

Severity: Medium

Cyberbullying

Harassment and bullying pattern detection

Severity: Medium

Privacy Violations

Exposure of child personal information

Severity: High

Age Band Sensitivity

Severity multipliers scale based on user age:

Under 13

Highest protection tier

Multiplier: 2.0×

13-15

Early teen protection

Multiplier: 1.5×

16-17

Late teen protection

Multiplier: 1.25×

Unknown Age

Defaults to highest protection

Multiplier: 2.0×

Deployment Profiles

Platform Integration

For social platforms and messaging apps

  • Real-time content scanning
  • User reporting integration
  • Escalation workflows

Enterprise Trust & Safety

For enterprise content moderation teams

  • Batch processing pipelines
  • Custom policy engines
  • Compliance reporting

Protect Children. Build Trust.

Contact us to learn how Reality Fidelity infrastructure can strengthen your child safety systems.

Contact Enterprise Team