TrafficWiz is an encrypted network traffic classification solution that uses multi-layer deep learning to identify applications and traffic types without decrypting payloads. It analyzes flow metadata, traffic timing patterns, and statistical signatures to classify encrypted traffic protected by TLS 1.3, QUIC, and DNS-over-TLS (DoT). The solution supports real-time inline inspection and offline analysis via PCAP files, processing traffic at sustained rates of up to 25 Gbps with low latency. It does not require payload access, making it effective even when content is obfuscated by TLS 1.3 with ESNI or encapsulated in QUIC. TrafficWiz includes an optional adaptive AI model ecosystem consisting of three tools — Labeler, Modeler, and Classifier — that allow organizations to build, validate, and deploy custom classification models tailored to their own traffic environments, without relying on third-party signature updates. Use cases include encrypted application identification, subscriber and service-level intelligence (QoS, application-based billing), legal and regulatory monitoring (lawful intercept), and security intelligence for incident response teams. The solution can be deployed as a virtual module or integrated directly into existing infrastructure, operating in either inline or passive monitoring mode. It offers published APIs for integration with external platforms. TrafficWiz aligns with ISO/IEC 27001, the NIST Cybersecurity Framework, and applicable lawful intercept protocols. It targets telecommunications providers, public sector and defence organizations, enterprises, and cybersecurity vendors.