NOMINATION HIGHLIGHTS

GenieAnalytics delivers carrier-grade security analytics and forensic capabilities for large-scale network environments such as telecom carriers, ISPs, and data centers. By unifying enriched network telemetry with advanced big-data analytics, the platform enables operators to gain deep visibility into network traffic behavior, uncover service-level insights, and perform multi-dimensional investigations across live and historical data for enhanced security decision-making.

At its core, GenieAnalytics provides powerful big-data traffic analytics that transform annotated IP flow records and heterogeneous data into actionable insights. Utilizing high-performance ingestion and distributed analytics, the platform supports multi-dimensional exploration with granular resolution down to seconds and flexible filtering across a broad range of metrics, including data rate, packet counts, unique identifiers, and custom aggregations. Operators can interactively navigate analytic dashboards with customizable widgets and visualizations such as line charts, heat maps, and geo-location views to quickly interpret network behavior and anomalies.

A key strength of GenieAnalytics is its ability to correlate and enrich traffic data with contextual information, including OTT (Over-The-Top) applications, content delivery networks (CDNs), and subscriber identity attributes. This enriched traffic data approach allows users to move beyond traditional numeric traffic attributes (e.g., IP addresses and AS numbers) toward higher-level, human-readable insights that reveal who is communicating, what services are being accessed, and how traffic is delivered across networks—supporting both operational optimization and security investigations.

The Data Correlation feature of GenieAnalytics further extends security analytics by integrating diverse data sources—such as DPI probes, routers, DNS servers, RADIUS servers, AAA systems, and CGNAT gateways—into a unified analytics engine that reconstructs OTT communication sessions and reveals underlying patterns in fraudulent or suspicious activity. Intuitive visualizations and a network behavior analysis model help investigators trace traffic patterns, identify service usage, and derive insights that support law enforcement, fraud investigation, and business intelligence use cases.

By combining enriched traffic exploration, high-performance big-data analytics, and heterogeneous data correlation, GenieAnalytics empowers operators to conduct deep network forensics and multi-layered security analysis. Its scalable architecture and contextual visibility make it a standout choice for organizations requiring comprehensive security analytics across carrier-grade network environments.