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NEXCLARA

SHIELD

Fraud detection

SHIELD identifies inconsistencies, duplicates and known patterns before approval — and always triggers a human review, never an automatic refusal.

What the module does

Each line describes a function by what it produces, never by the promise it carries.

  • Detects inconsistencies within the application: declared income against observed flows, age against trading history.
  • Detects duplicates and simultaneous multiple applications within the institution.
  • Detects known fraud patterns, configurable by your institution.
  • Detects behaviour atypical against a reference population.
  • Produces a graded alert level and forces routing to review beyond a threshold you set.

Two fictional files, two inspections

The inspection compares what the file says about itself. It records agreements as much as discrepancies: a consistent file deserves to be recognised as such.

  • Identity consistent across the three documents
  • Declared turnover consistent with statements
  • Documents dated less than three months ago
  • Address differs between two documents

No element in this category for this scenario.

High — the elements agree
The level reflects the number and nature of discrepancies, not a probability.
Each discrepancy calls for a named verification an analyst can complete in minutes.
A consistency inspection does not detect fraud: it indicates where to look. The conclusion belongs to the institution.

What it never does

What a module refuses to do can be checked; what it promises to do well can only be argued. Its limits are therefore written next to its capabilities.

  • A fraud alert never produces an automatic refusal. An accusation of fraud commits the institution: it cannot be automated.
  • Alert grounds never appear in the explanation communicable to the applicant.

What this changes

What having this module changes in the real work of a credit team.

A fraud control run after approval records a loss. Built into the decision flow, it prevents one — without turning the platform into a tribunal, since the conclusion stays human.

Keep reading

SIGNAL assesses applicants with no banking history from real financial signals — under strict consent, and without ever blocking the decision.

SENTINEL monitors credit already granted and flags deterioration before the first missed payment. It is the module that moves an institution from reaction to anticipation.

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