Overview of TrafficWiz
Encrypted traffic now accounts for the vast majority of global network flows. This shift has rendered traditional Deep Packet Inspection (DPI) tools increasingly obsolete. TrafficWiz addresses this visibility crisis head-on. Built on advanced multi-layer deep learning and engineered for performance at scale, TrafficWiz enables accurate classification of encrypted traffic without decryption. Equipped with this solution, organizations gain precise, real-time insight into modern application behaviours.
Key Features & Capabilities
TrafficWiz is purpose-built with architecture that combines technical sophistication with operational flexibility.
- High-Accuracy Encrypted Traffic Classification: Powered by advanced deep learning, TrafficWiz identifies applications and traffic types (including streaming, messaging, VoIP, and file transfer) even when obfuscated by TLS 1.3, QUIC, or DoT.
- Performance at Scale: Optimized for high-speed environments, TrafficWiz processes live traffic at rates up to 25 Gbps with low latency. It supports both inline inspection and offline analysis via PCAP files.
- Built for Integration and Adaptability: TrafficWiz includes optional tools for in-house model training and offers well-documented APIs for seamless integration with existing analytics platforms and security infrastructure.
Technical Innovation Behind TrafficWiz
TrafficWiz stands apart through its layered, AI-driven classification engine and its modular ecosystem, engineered to meet the demands of modern, encrypted network environments.
The Classification Engine
At its core, TrafficWiz uses a multi-layer deep learning framework that extracts and analyzes flow metadata, traffic timing patterns, and statistical signatures to classify encrypted traffic. Unlike DPI-based systems, it requires no payload access, ensuring effectiveness even when content is protected by TLS 1.3 with ESNI or encapsulated in QUIC.
Adaptive AI Model Ecosystem
TrafficWiz includes an optional toolset (Labeler, Modeler, and Classifier) that enables organizations to build, validate, and deploy their own models. This supports rapid adaptation to new applications and evolving traffic patterns, without dependence on third-party signature updates.
Optimized for High-Speed, Low-Latency Networks
Engineered for carrier-grade performance, TrafficWiz processes up to 25 Gbps of traffic in real time with minimal resource overhead. It supports both inline operation and offline processing, maintaining precision across live and historical datasets.
TrafficWiz stands apart through its layered, AI-driven classification engine and its modular ecosystem
Industries TrafficWiz Serves
TrafficWiz is built for organizations that operate in complex, high-throughput environments where encrypted traffic visibility is mission-critical. It supports a wide spectrum of industries and is designed to adapt to the encrypted traffic inspection needs based on company requirements. For example:
- In telecommunications, service providers and network operators use TrafficWiz to enable application-aware services, enforce subscriber policies, maintain QoS, and integrate encrypted traffic intelligence into SD-WANs, routers, and monitoring platforms.
- In the public sector, including defence and national security domains, TrafficWiz supports lawful intercept, encrypted traffic analysis, and compliance with government frameworks. Cybersecurity vendors embed its classification capabilities into NGFWs, SIEMs, and threat detection systems.
- In enterprise and research environments, TrafficWiz helps maintain visibility over encrypted flows, enforce acceptable use policies, and protect sensitive traffic across multi-layered, distributed networks.
TrafficWiz is built for organizations that operate in complex, high-throughput environments where encrypted traffic visibility is mission-critical
TrafficWiz Use Cases
Encrypted Application Identification
Precisely identifies applications and services, even when tunnelled through encrypted channels, TrafficWiz supports bandwidth allocation, traffic shaping, and application policy enforcement.
Legal and Regulatory Monitoring
TrafficWiz enables agencies to detect specific types of encrypted communications without requiring decryption, thereby supporting lawful intercept and national security objectives.
Subscriber and Service-Level Intelligence
Tiered service offerings, application-based billing, and dynamic QoS for communication are all available through TrafficWiz for providers operating under encrypted traffic conditions.
Security Intelligence and Threat Context
Support incident response teams with real-time metadata and traffic pattern analysis. TrafficWiz enhances visibility into encrypted attack vectors and lateral movement within protected channels.
Precisely identifies applications and services, even when tunnelled through encrypted channels, TrafficWiz supports bandwidth allocation
Security & Compliance
TrafficWiz is engineered with a security-first approach that balances operational visibility with data protection and legal accountability. Its architecture supports lawful monitoring while aligning with global standards for cybersecurity and privacy.
- Privacy-Respectful by Design: TrafficWiz performs classification using metadata and statistical patterns, eliminating the need to decrypt user payloads. This ensures organizations gain actionable intelligence without compromising user confidentiality.
- Compliance with Global Standards: The solution aligns with frameworks such as ISO/IEC 27001, NIST Cybersecurity Framework, and applicable lawful intercept protocols, supporting security governance across public and private sectors.
- Secure Development and Validation: All TrafficWiz components undergo rigorous testing, including regular penetration testing, model validation, and code audits. This secure lifecycle ensures that classification models and supporting software meet stringent reliability and resilience requirements.
TrafficWiz is engineered with a security-first approach that balances operational visibility with data protection and legal accountability
Deployment Options
TrafficWiz is a flexible, high-performance solution that can be deployed as a virtual module or integrated directly into existing infrastructure. Whether operating in-line or in passive monitoring mode, it supports real-time traffic analysis up to 25 Gbps, as well as offline processing from packet captures. This makes it suitable for both live enforcement and retrospective analysis across security, service assurance, and lawful intercept use cases.
Designed for seamless integration, TrafficWiz offers well-documented APIs and supports interoperability with network probes, firewalls, SIEM platforms, and big data environments.
TrafficWiz is a flexible, high-performance solution that can be deployed as a virtual module or integrated directly into existing infrastructure
Frequently Asked Questions
TrafficWiz uses a deep learning-based classification engine that analyzes flow metadata, timing patterns, and behavioural signals rather than payload content. This approach allows accurate identification of applications and traffic types, even when encrypted with TLS 1.3, QUIC, or DNS-over-TLS.
Yes. TrafficWiz includes optional tools for dataset labelling and in-house model development, enabling organizations to train and deploy custom models tailored to their evolving traffic landscape.
TrafficWiz is optimized for high-throughput environments and can process encrypted traffic at sustained rates of up to 25 Gbps in real time, with minimal impact on latency or accuracy.
Yes. TrafficWiz supports lawful intercept workflows and aligns with legal frameworks and compliance standards, including ISO 27001 and NIST. It enables targeted visibility while preserving user privacy through non-decrypting analysis.
Absolutely. TrafficWiz offers published APIs and supports integration with firewalls, SIEM platforms, network probes, and big data analytics environments, allowing it to operate as a standalone engine or embedded middleware.
TrafficWiz uses a multi-mode classification architecture that leverages cached intelligence and optimized inference pipelines. This ensures high accuracy while maintaining consistent performance, even under heavy traffic loads.