A Tier-1 global investment bank deployed DataSentinel across market data, reference feeds, and settlement pipelines to prevent silent failures before regulatory or financial impact.
A Tier-1 global investment bank deployed continuous trust controls across market data, reference feeds, and settlement pipelines to prevent silent data failures before financial or regulatory impact.
Tier-1 global investment bank operating multi-asset trading, post-trade, and settlement systems across North America, EMEA, and APAC with strict regulatory oversight.
A delayed reference data feed introduced incorrect instrument mappings into downstream valuation systems. The issue was discovered manually hours before settlement—narrowly avoiding failed settlement and regulatory escalation.
All corrections require explicit human approval before execution
No performance impact to critical trade execution paths
Complete decision lineage for regulatory review and compliance
No model training on unverified corrections to preserve correctness
Dynamic baselines across latency, volume, and statistical distributions for every data feed
Column-level provenance and dependency modeling to understand downstream impact
Automatic gating of downstream processes when trust scores fall below thresholds
Causal signals with audit-ready narratives for every alert and decision
Trust surface mapping and failure-mode identification
Shadow deployment with no gating—observation only
Partial gating on non-critical pipelines with ops approval
Full production rollout with audit sign-off
If your data powers financial decisions or regulatory reporting, let's talk about trust controls.