Resource Product: GenieAnalytics

Genie’s Data Correlation Solution helps law enforcement and telecom operators tackle the challenges of OTT communication investigations. By integrating DPI, CGNAT, DNS, and AAA data, it enables intelligent correlation and big-data analysis to uncover key details—such as device info, location, and traffic patterns—behind fraudulent calls. Even with private IPs and evolving communication methods, it ensures full traceability across OTT apps like Line, WeChat, and FaceTime, boosting investigative accuracy and fraud detection.

Explore how Genie’s Data Correlation solution harnesses the power of heterogeneous data integration from sources like DPI probes and DNS servers to provide deep forensic insights. By enabling accurate reconstruction of OTT call details including user identification and communication patterns, Genie’s solution offers telecom providers and law enforcement robust tools for fraud investigation, network performance optimization, and security analysis.

This data sheet highlights how GenieAnalytics Ingestor enhances flow analysis by collecting and processing DNS and RADIUS data. With high-capacity modules for parsing and mapping, it efficiently annotates flow records with enriched AAA and DNS fields, providing deeper insights for network performance and security analysis.

GenieAnalytics delivers in-depth traffic insights through ad-hoc analytics and multi-dimensional visualization. This data sheet highlights key features, deployment options, and the benefits of leveraging GenieAnalytics to uncover traffic trends, enrich flow data with contextual insights, and drive smarter network operations.

This document discusses the key factors shaping the network security landscape in the Fourth Industrial Revolution (4IR), while highlighting advanced strategies such as behavioral analysis, threat intelligence integration, and AI-enabled detection to combat evolving cyber threats.

Gain unparalleled end-to-end visibility by exploring key drivers of network growth through seamless data correlation and actionable insights.