AI for Wireless Red Team
This session explores the intersection of AI and wireless security, examining how machine learning enhances reconnaissance, signal analysis, and attack automation in wireless environments. Students will learn to leverage AI-powered tools for RF signal classification, signal analysis, data replay, and workflow automation with AI integration.
Learning Objectives
Understand wireless attack surfaces and AI applications
Apply ML techniques to RF signal classification
Automate wireless reconnaissance with AI tools
Develop intelligent wireless attack workflows
Profile and exploit IoT devices using AI assistance
Topics Covered
Wireless attack surface overview (Wi-Fi, Bluetooth, IoT)
AI-powered RF signal classification
Machine learning for signal analysis and pattern recognition
Automated wireless protocol analysis
AI-enhanced packet capture and analysis
Intelligent data replay attacks
ML for detecting wireless security vulnerabilities
Automated wireless attack workflow orchestration
IoT device profiling with AI
Skills You'll Gain
Ready to Get Started?
Join this session and advance your DevSecOps and AI security skills