T9 provides an AI-driven detection framework designed to identify malicious network activities across diverse environments.
By combining multi-source cybersecurity datasets, advanced AI models, and explainable techniques, the Detect module ensures a reliable and transparent approach to modern network security.
What Detect Covers
T9 provides an AI-driven detection framework designed to identify malicious network activities across diverse environments.
End-to-end malicious traffic detection
Integration of threat intelligence and real network logs
AI-based modeling and data augmentation
Explainable detection and trustworthy analysis
Foundation for Predict (real-world inference) and XAI modules
Core Features
AI-Based Detection Model
Learns patterns of attacks and abnormal behavior across protocols and payload.
XAI-Enhanced Transparency
Provides interpretable explanations for every detection.
Quality Assurance Pipeline
Collects and validates high-quality training data for continuous improvement.
Robust and Reliable AI
Strengthened against adversarial and evasive attacks.
Figure Overview of the T9 Detect pipeline, illustrating data pre-processing, model training and validation, and XAI-based post-processing for transparent malicious traffic detection.
