Assessment Output

Each policy evaluation produces a detailed assessment with specific metrics and recommendations.

Assessment Components

Compliance Status

Compliant: Meets policy requirements
Non-Compliant: Violates policy or needs review

Risk Level

Low: Minimal risk, standard logging
Medium: Some risk, may need disclaimers
High: Significant risk, human oversight required
Critical: Major violation, should be blocked

Confidence Score

0.0 - 1.0: How confident the AI is in its assessment
Higher scores indicate more certain evaluations

Recommendation

Auto-Approve: Safe to proceed automatically
Human Intervention Required: Needs human approval

Additional Details

Reasoning

Clear explanation of why the assessment was made, including:
  • Specific policy violations or compliance factors
  • Risk factors identified in the request
  • Contextual considerations

Tags

Categorization labels extracted from policy definitions:
  • #PersonalData - Processing personal information
  • #FinancialData - Financial transactions or data
  • #HighValue - High-value operations
  • #SpecialCategory - GDPR special category data

Metadata

  • Policy Version: Exact version used for assessment
  • Evaluation Timestamp: When assessment was performed
  • Processing Duration: How long evaluation took