Shared IP Environments Complicate Subscriber Identification
NAT and CGNAT allow multiple subscribers to share public IP addresses, making reliable session-to-subscriber correlation increasingly complex.
We combine DPI-powered session intelligence with AI/ML-enhanced correlation to trace subscriber activity across complex NAT, CGNAT, and IPv4/IPv6 environments.
Product Overview
Our IP Mapping platform provides real-time private-to-public IP correlation and subscriber session identity mapping using Deep Packet Inspection (DPI). It maps subscriber sessions to IP addresses with application-layer precision across NAT, CGNAT, and IPv4/IPv6 dual-stack environments.
AI/ML-enhanced correlation resolves complex session relationships with high accuracy, while tamper-proof audit logs and integration with law enforcement interfaces provide traceable records for regulatory compliance, lawful requirements, fraud investigations, and security analytics.
The Outcomes Are Clear
Capabilities
Correlate private and public IP addresses in real time across dynamic network environments.
Map network activity to individual subscriber sessions with application-layer precision.
Resolve complex session relationships across NAT and carrier-grade NAT environments where multiple subscribers share public IP resources.
Maintain reliable session correlation across IPv4, IPv6, and dual-stack network environments.
Apply AI/ML models to complex session and addressing patterns to improve mapping accuracy across dynamic network environments.
Maintain precise session identity records to support applicable regulatory data retention and lawful compliance requirements.
Integrate session mapping intelligence with supported law enforcement interfaces to enable structured access to required records.
Provide subscriber-to-session correlation to strengthen fraud investigations, security analytics, and forensic analysis.
Maintain traceable, tamper-proof records of session mapping activity to support regulatory, investigative, and audit requirements.
Process
We use DPI to identify relevant session and application-layer information across supported network traffic.
Private and public IP information is correlated with subscriber sessions across NAT, CGNAT, IPv4, and IPv6 environments.
AI/ML-enhanced correlation analyzes complex addressing and session patterns to establish accurate subscriber-to-IP mappings.
Mapped session information is preserved through tamper-proof audit logs to support historical traceability and applicable data retention requirements.
Validated session intelligence is made available through supported interfaces for lawful requirements, fraud investigations, and security analysis.
Results
Establish reliable subscriber-to-IP relationships across complex NAT, CGNAT, and dual-stack network environments.
Give fraud and security teams precise session intelligence to trace relevant network activity more efficiently.
Maintain accurate and traceable session records to support applicable regulatory and lawful requirements.
Preserve tamper-proof session records that strengthen traceability across compliance and investigative workflows.
Give operational teams reliable session intelligence and centralized records to respond to compliance requirements more efficiently.
Maintain consistent subscriber-session mapping as operators transition between IPv4, IPv6, and increasingly complex shared-address environments.