Risk Data Controls
Continuous, risk-tiered monitoring of Tier-1 datasets (CDEs) with auto-remediation and quarantine before downstream impact.
Proactive risk controls
Hook into pipelines, map risk tiers, guard quality, and monitor SLOs—without losing the thread.
Hook
Pipeline monitoring
Map
Risk tiers
Guard
Real-time checks
Monitor
SLO tracking
What the agent does
Proactive controls that catch issues before they propagate downstream.
Preventive controls-as-code
Enforces schema, values, integrity, drift, and timeliness at ingest and transform stages.
Risk-tiered monitoring
Stricter thresholds for high-impact data; lighter touch for Tier-2/3 datasets.
Automated quarantine & retry
Fails fast, parks bad records, and triggers backfills with root-cause clues.
Contract enforcement
Checks data contracts (SLAs, SLOs, PII tags) and blocks deploys that break them.
Control evidence
Stores run results, checksums, code versions, and approver notes for every pipeline.
Validation library
Coverage across the scenarios that matter for Tier-1 and regulated reporting.
Accuracy & validity
- Check digits (TIN/EIN validation)
- Regex patterns for data formats
- Geographic & currency rules
Completeness & timeliness
- Inter-system record counts
- Late-file detection
- SLA monitoring
Consistency
- GL tie-outs and reconciliation
- Foreign-key consistency
- Business rule parity
Drift & anomaly detection
- PSI/KS tests on model features
- Sudden null/zero spike detection
- Distribution shift monitoring
Ready in 2–3 weeks
A practical rollout path from discovery to production monitoring.
Discovery
Days 1–5
Inventory Tier-1 datasets; deploy agents to pipelines
Configure
Days 6–10
Configure control packs; enable quarantine/backfill flows
Deploy
Days 11–15
Turn on dashboards and alerting; pilot sign-off
Proactive risk data controls
See how our risk data agents achieve 95% Tier-1 coverage while reducing downstream incidents by 50–70%.