Analysis & Classification Intelligence
Encrypted Traffic Analysis
In today’s encrypted internet, visibility is vanishing. As protocols like TLS, QUIC, and DNS-over-HTTPS (DoH) are the default, traditional tools for traffic monitoring and control become less effective. Cyber threats, abusive behavior, and policy violations increasingly hide behind encryption.
Encrypted Traffic Needs Intelligence
Encryption protects privacy, but it also blinds basic inspection. In a modern network:
• Over 90% of traffic is encrypted (TLS 1.3, QUIC).
• Malware and C2 traffic use HTTPS and DoH to bypass detection.
• Content categorization and threat detection become harder without full payload access.
Our ETI approach allows visibility without decrypting content by combining metadata analysis, behavioral profiling, and AI-driven classification.
Analyzing Encrypted Traffic
TLS Handshake Metadata
• SNI (Server Name Indication), certificate chain, JA3 fingerprints
• Correlation with domain categories and known threat actors
• Detection of suspicious or rare cipher suites or renegotiation behavior
QUIC Traffic Analysis
• QUIC version fingerprinting
• Initial connection behavior and packet structure
• Inference of application type based on flow metadata and IP/domain mapping
DoH and Encrypted DNS
• DoH endpoint classification
• DNS query behavior over HTTPS/TLS channels
• Identification of covert tunneling or abuse through encrypted DNS
Classifying Encrypted Flows
Protocol & Service Recognition
• Identifies encrypted services using known port/IP/protocol combinations and advanced fingerprinting.
• Supports over 5,500 applications, including encrypted variants (e.g., WhatsApp, Telegram, QUIC YouTube).
Domain-Based Categorization
• For encrypted HTTPS flows, the SNI or IP address is matched to a continuously updated domain intelligence database.
• Our AI engine processes 400,000 new domains/day, assigning up to five categories per domain.
Behavioral Pattern Analysis
• Flow duration, packet size distribution, burst behavior, and timing.
• Trained models succeed in detecting anomalies, policy violations, and malicious behavior (e.g., encrypted malware C2, exfiltration via DoH).
Inline Enforcement
• Block, redirect, mirror, or shape encrypted flows without breaking TLS.
• Rules can be applied based on domain, protocol, subscriber, location, or behavior.
Let Encryption Protect Users • Let Intelligence Preserve The Network.
Encrypted But Not Invisible
Our approach to ETI ensures that encryption doesn’t mean invisibility. With full support for TLS 1.3, QUIC, DoH, and related technologies, we help stakeholders:
• Maintain filtering policies without violating privacy
• Detect encrypted threats in real time
• Monitor critical services by behavior and metadata
• Comply with national-level visibility requirements for traffic categorization
Without decrypting the content, this analytical approach ensures compliance with modern privacy and encryption standards.
A Platform Built for the Encrypted Era
The Encrypted Traffic Intelligence (ETI) module is deeply embedded within our high-performance, cloud-native platform, purpose-built for visibility into encrypted environments. It supports real-time processing of high-throughput traffic, advanced flow analysis across encrypted sessions, and interactive insights powered by behavioral analytics. Platform features include:
• DPDK-powered DPI engine for encrypted traffic performance
• Kafka-based real-time processing pipeline
• OLAP analytics (ClickHouse) for sub-second queries on encrypted traffic behavior
• AI chat assistant to interpret and analyze flow metadata from encrypted sessions
With rapid query capabilities and intuitive guidance tools, this helps teams extract actionable intelligence from encrypted data flows - without compromising on speed, accuracy, or scalability.
See What Others Can't • Securely & Intelligently
Encrypted traffic is growing - So is the need for actionable insight. With Encrypted Traffic Intelligence from Quant Azimuth, operators and national entities can regain clarity, enforce policy, and secure their infrastructures - without breaking encryption.
