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Report Data Ingestion Policy
Pre-action governance for data being ingested by an AI agent for reporting purposes (e.g., ESG, financial disclosures). Enforces rules on data source credibility and freshness.
v1.0.0
Requirements
Required Capabilities
data.report.ingest
Minimum Assurance Level
L2
Required Limits
approved_sources
max_data_age_seconds
max_data_size_mb
max_ingest_frequency_per_hour
data_quality_threshold
required_validation_checks
Enforcement Rules
These rules are automatically enforced when using this policy pack
source_approved
data_freshness
data_size_limit
ingest_frequency_limit
data_quality_enforced
validation_required
idempotency_required
Best Practices
- Cache /verify with ETag; 60s TTL
- Subscribe to status webhooks for instant suspend
- Log all data ingestion attempts for Verifiable Attestation
- Implement data quality scoring before ingestion
- Use data lineage tracking for audit compliance
- Implement progressive data validation checks
- Monitor for data anomalies and unusual patterns
- Use data encryption for sensitive report data
- Implement data retention policies based on report type
- Maintain data source reputation scoring
- Use idempotency keys to prevent duplicate ingestion
- Implement data freshness monitoring and alerts