DPI as an Analytical Layer
/ Analytical Layer /
In converged networks, infrastructure observability is critical.
At 7Generation, Deep Packet Inspection (DPI) is not treated as network equipment, but as an analytical layer that captures anomalous and illegitimate usage patterns.
At 7Generation, Deep Packet Inspection (DPI) is not treated as network equipment, but as an analytical layer that captures anomalous and illegitimate usage patterns.
DPI becomes part of a unified data intelligence architecture, supporting digital integrity rather than reactive enforcement.
Combined with:
AI-based anomaly detection
Telecom metadata
Behavioural analytics
Netalytix is designed to process large-scale telecom data.
The platform combines network analytics, data correlation, and predictive models to:
The platform combines network analytics, data correlation, and predictive models to:
- analyse subscriber behaviour
- support personalised offers, including advertising audiences
- forecast risk through scoring models
- assess service quality across operator networks
Netalytix can operate as a standalone analytics layer or as part of a broader DI&ST architecture.
/ Predictive Analytics /
Key NetVision Capabilities
NetVision —
Data & Predictive Analytics
Data & Predictive Analytics
Scenario & Stress Analytics
Scenario-based modelling to assess system resilience.
Dynamic Risk Scoring
Multi-factor risk scoring across users, devices, sessions, and processes.
Predictive Risk Models
Forecasting churn and other subscriber actions based on behavioural patterns.
Real-time, large-scale analysis of network, signalling, and telecom metadata
Infrastructure Big Data Analytics
Beyond risk and resilience use cases, Netalytix enables telecom operators to build privacy-safe audience segments at the infrastructure level.
Based on network and behavioural patterns, the platform allows operators to:
Based on network and behavioural patterns, the platform allows operators to:
Data & Predictive Analytics for Audience Monetisation
/ Predictive Analytics /
This approach enables data monetisation at the infrastructure level, while remaining fully compliant with privacy and regulatory requirements.
Increase targeting accuracy and advertising inventory value
Form audience segments without access to personal data
Identify stable consumption and interest profiles
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Regulatory &
Operational Compatibility
Operational Compatibility
/ Regulatory /
Sensitive and regulated capabilities are delivered
through a controlled, closed-access environment.
through a controlled, closed-access environment.
7Generation architectures are designed with consideration for:
AI-based anomaly detection
Telecom metadata
Behavioural analytics
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Restricted Streams
/ Streams /
Behavioural graphs, synthetic identities, cross-platform patterns
Behavioural & Identity Intelligence
Regulatory architectures, mediation, secure access layers
Lawful Interception & SORM
Traffic integrity, network anomalies, DPI, signalling analytics
Telecom Intelligence