Enterprise AI Administration
Fraud & Leakage Detection Model
Model Details · Telecom AI Model Registry
Model Details
Fraud & Leakage Detection Model
Algorithm: Anomaly detection + rulesREGISTERED
- Code
MDL-FRAUD-LEAK- Version
- v2.1
- Owner
- Head of Revenue Assurance
- Governance owner
- Fraud Governance Forum
Governance configuration shown for review and validation. Read-only.
Business purpose
Detect fraud patterns and revenue leakage across billing and interconnect
Production-recommended design specification. This record does not mean the model has been trained, fitted, deployed or validated.
Technical specification
- Model family
- —
- Algorithm
- Anomaly detection + rules
- Implementation library
- —
- Model type
- —
- Explainability method
- —
Implementation governance
- Governance status
- REGISTERED
- Implementation status
- NOT IMPLEMENTED
- Validation status
- VALIDATION REQUIRED
- Lifecycle stage
- Design
- Current performance
- Not yet measured
- Refresh cadence
- Daily
- Last reviewed
- 18 Sep 2026
- Next review due
- 18 Oct 2026
- Historical sample reference
- Detection rate 0.89 — earlier sample figure, kept for provenance only; not a validated model result.
Business
- Mission area
- Fraud & Revenue Assurance
- Decision journey
- Fraud & Revenue Assurance
- Target variable
- Fraud / leakage anomaly score
- Output
- Prioritised fraud cases and leakage alerts
Input features
Feature summary
Usage anomalies, SIM-box indicators, billing reconciliation gaps
Related Intelligence
Linked governed records
KPIs (0)
None recorded.
Business rules (0)
None recorded.
Formulas (0)
None recorded.
Source mappings (0)
None recorded.
Simulation models (0)
None recorded.