Detection and Diagnosis

Establish the Facts Before Choosing an Action

Component

Responsibility

Schema profiler

Drift detector

Data-quality analyzer

Error classifier

Risk scorer

Structure, types, nesting, null rates

Additions, removals, type changes

Completeness, validity, consistency

Converts log patterns into failure categories

Produces an operational risk level

Deterministic prototype with limited dataset; ML-ready with richer incident history.