Fraud Intelligence Layer

Catch SIM-box fraud.
Without exposing your network.

Stand up a permissioned fraud intelligence network where operators correlate SIM-box signals across each other's data without ever revealing raw network events. The Fraud and Risk Engine, Fraud Rules, and Node Permissioning modules run privacy-preserving matching, so competitors share threat intelligence and keep their traffic private.

The Foundation

The Execution Mechanics

Turn isolated per-operator fraud signals into a shared intelligence layer that no competitor can read in the clear.

01.

Privacy-Preserving Correlation

Match without disclosing. The Fraud and Risk Engine correlates fraud signals across operators using hashed and salted event fingerprints, so a shared pattern surfaces while raw network data never leaves each operator's boundary.

02.

Shared Fraud Rules

Encode threat logic once. The Fraud Rules module holds the SIM-box and bypass detection rules as versioned on-chain policy, so every operator scores against the same, transparent definition of fraud.

03.

Node Permissioning

Gate who joins and what they see. Node Permissioning admits only accredited operators and confines each to aggregate signals, preventing any member from reading another's sensitive events.

04.

Cross-Operator Signal Graph

Reveal the ring, not the records. Matched fingerprints build a shared signal graph exposing coordinated fraud spanning multiple networks, without any single event being reconstructable by another party.

05.

Revenue Leakage Flags

Protect the top line. Anchored correlation flags bypassed international termination and unbilled traffic, giving revenue assurance teams a verifiable leakage signal instead of a monthly guess.

06.

Immutable Evidence Trail

Prove the finding later. Each confirmed match is anchored with its rule version and timestamp, so a fraud case rests on a tamper-evident record all participating operators can trust.

The Detection Lifecycle

Follow a suspected SIM-box pattern from a single operator's signal to a confirmed cross-network match.

Operational log system
cerulea_fraudnet.log

02:33:18

[SYS] Ingesting fraud signal from OP_MTN_09...

02:33:18

[CMD] submitSignal { fp: "HASH_9ab2", class: "SIMBOX" }

02:33:19

[AUTH] Confirming node permission and salting fingerprint...

02:33:19

[OK] Signal SIG_33108 anchored, raw data withheld.

Smart Contract Anatomy

Cerulea splits shared fraud detection into contracts for fingerprint submission, rule scoring, privacy-preserving correlation, and evidence anchoring, so operators cooperate on threats while no member reads another's raw traffic.

Applicability Across the Spectrum

Privacy-preserving fraud intelligence is a horizontal capability. Here is how different telecom functions put the shared signal layer to work.

Fraud Management Teams

Detect SIM-box and interconnect bypass rings that span several operators, catching coordinated fraud that no single network could see while keeping their own traffic data fully private.

Key Asset Types

  1. 1Fraud Signals
  2. 2Ring Matches
  3. 3Detection Rules

Revenue Assurance

Flag bypassed international termination and unbilled traffic against a shared, verifiable signal, replacing a monthly leakage estimate with anchored cross-operator evidence.

Key Asset Types

  1. 1Leakage Flags
  2. 2Termination Records
  3. 3Assurance Cases

Regulators & Law Enforcement

Receive tamper-evident fraud evidence with its rule version and timestamp intact, acting on coordinated telecom fraud from a record every operator already trusts.

Key Asset Types

  1. 1Evidence Records
  2. 2Case Files
  3. 3Audit Trails

Network & Execution Architecture

Whether you are bridging a legacy fraud management system or streaming events from a modern signalling probe, Cerulea routes both into fingerprints without exposing raw traffic.

Track A: Enterprise Fraud System Bridging

For operators on legacy fraud management platforms. Detected events are hashed into salted fingerprints at the edge and signed onto the network through the API gateway automatically.

Fraud Management System

Operator Detection Stack

HTTPS / REST

Cerulea API Gateway

Fingerprint Hashing & Signing

WASM COMPILATION

Cerulea Private Chain

Shared Fraud Intelligence Ledger

Track B: Signalling Probe Capture

For operators streaming from network probes. Each suspicious event is fingerprinted at the probe node and routed straight to the correlation engine for cross-operator matching.

Signalling Probe

Live Network Events

NODE SIGNATURE

Correlation Validators

Blind Match Consensus

STATE EXECUTION

Cerulea Ledger

Shared Signal Graph

Accelerated Time-to-Market Simulator

Building a permissioned fraud intelligence network with privacy-preserving correlation, shared rule scoring, and tamper-evident evidence anchoring from scratch requires specialised cryptography engineers and long multi-operator trust negotiations. Calculate your exact deployment speed using Cerulea.

Required Detection & Correlation Rules

48Rules
Simple (10)Enterprise (200)

Traditional Deployment

Solidity Coding & Audits

~ 13 Months

Cerulea Edge

Visual Compilation

WASM Logical Artifacts

~ 4 Weeks

>_

Technical Methodology

The legacy timeline reflects cross-operator fraud consortium benchmarks. Building privacy-preserving correlation, agreeing a shared rule engine, and wiring each operator's fraud stack for an average consortium takes a baseline of 10 months. Building the same architecture on Cerulea takes a baseline of 3 weeks, because Cerulea Studio visually translates your detection and correlation rules into pre-audited WebAssembly binaries and provisions the permissioned intelligence ledger and node gating instantly.