Case Study

Uncovering a Hidden Extortion Network Behind Prison Walls Using Vehere Bulk Interception

Discover how a Lawful Enforcement Agency strengthened its ability to identify unauthorized devices, uncover alternate communication identities and trace relationships across a hidden communication network despite frequent SIM and handset changes.

0
Mobile handsets misused in cybercrime
0 Lakh
Mobile numbers associated with those handsets
0 Lakh+
Suspicious connections identified by ASTR

(Source: 2024 figures based on Ministry of Home Affairs and State Force analysis. ASTR figure reported as of July 15, 2026.)

“Vehere BIMC enabled us to connect seemingly isolated devices and communication changes into a broader intelligence picture. This helped us identify unauthorized devices, uncover alternate communication identities, and trace relationships across the network.”​

About the Organization​

A Lawful Enforcement Agency operating across a sensitive border region needed deeper visibility into unauthorized mobile communications and hidden identities linked to organized criminal networks.

Sector
Government and lawful Enforcement
Mission​
Communications Intelligence and Investigation
Operational Scope
High-volume intercepted communication
Core Requirement
Persistent identity and relationship intelligence
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The Challenge: Traditional communication monitoring could not maintain continuity as identities changed.

The challenge was not simply intercepting communication. The agency needed to identify the devices, numbers, locations, and relationships hidden within large volumes of communication data and connect them back to the individuals and networks under investigation.

Frequent MSISDN–IMEI changes, multiple SIMs and devices, unauthorized device activity, insufficient historical context, high-volume correlation complexity and hidden network relationships created significant investigative challenges.

Why Vehere Bulk Interception?​

1. High-Volume Data Ingestion

Processes intercepted communication and signaling data at scale within a unified intelligence environment.

2. Continuous Identity Correlation

Correlates MSISDN, IMEI, location, and communication activity to maintain persistent identity relationships.

3. Automated Phone-Swap Detection

Detects deviations in established MSISDN-IMEI relationships and generates Phone Swap Activity Alerts.

4. Actionable Intelligence Alerts

Transforms multi-dimensional correlations into prioritized investigative leads, enabling analysts to focus on high-value activity.

5. Alternate Number Discovery

Pivots from known devices and identities to identify previously unknown MSISDNs associated with the communication footprint.

6. Historical Intelligence Correlation

Correlates new identifiers with past communications, devices, locations, and known entities to establish an investigative context.

7. Location and Communication Link Analysis

Connects devices, numbers, locations, and communication relationships to uncover hidden links and suspicious activity within sensitive areas.

“Vehere BIMC enabled us to connect seemingly isolated devices and communication changes into a broader intelligence picture. This helped us identify unauthorized devices, uncover alternate communication identities, and trace relationships across the network.”​