Integrated Theft Prevention & Anomaly Fusion
Correlate fuel, cargo, vehicle, access, personnel and video signals to detect suspicious multi-system patterns.
What this capability solves
Integrated Theft Prevention & Anomaly Fusion converts fragmented operational signals into an accountable digital workflow so teams can detect risk earlier, optimize resources and improve safety or productivity without losing human operational control.
Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.
Capability model
Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.
Data Fusion
Combine dispatch, fuel, cargo, access, people and video events.
Scenario Rules
Encode suspicious sequences and operational exceptions.
Anomaly Analytics
Identify deviations from normal shifts/routes/transactions.
Heatmaps
Visualize recurring location/time risk.
Case Workflow
Create investigation cases with evidence.
Management Analytics
Trend loss indicators and control effectiveness.
How the capability fits together
Final topology, control placement and deployment model are validated during discovery and detailed design.
Controls & governance
- Authorized and purpose-bound data collection
- Safety-first operational boundaries and human override
- Role-based access and asset ownership
- Data-quality and calibration controls
- Event/audit history and investigation evidence
- Cybersecurity for devices, edge and enterprise integration
Priority use cases
- Fuel theft
- Unauthorized unloading
- Material diversion
- Collusion indicators
Key deliverables
- Operational/process assessment
- Reference architecture
- Pilot design/configuration
- Integration and data map
- SOP / escalation model
- KPI baseline and scale roadmap
Integration considerations
- Fuel balance
- Dispatch
- LiDAR
- Access/CCTV
- Personnel tags
- Case/GRC
Phased delivery
Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.
