AI Can Hacked: Network Recon with AI: Mastering Network Reconnaissance with Artificial Intelligence

By bernie goldmann

AI Can Hacked: Network Recon with AI represents a revolutionary approach to network security education, combining comprehensive network reconnaissance training with cutting-edge AI integration. This specialized book in the AI Can Hacked Master Series provides expert-level training in network reconnaissance techniques, enhanced with artificial intelligence for automated analysis, pattern recognition, and intelligent threat detection. The book features 17 comprehensive chapters covering everything from network reconnaissance foundations to advanced AI-powered analysis techniques. You'll master 100+ network reconnaissance tools and techniques, learn advanced threat intelligence gathering, and discover how AI can revolutionize your network security assessment capabilities. The included professional lab environment uses Docker containers to provide a safe, isolated testing environment with specialized network reconnaissance tools, threat intelligence platforms, and target networks. Each chapter includes hands-on exercises, real-world scenarios, and AI co-pilot prompts for enhanced learning. The book covers network reconnaissance methodology, DNS intelligence enumeration, port scanning and service detection, SSL/TLS security assessment, Shodan and Censys intelligence gathering, vulnerability assessment, threat intelligence integration, network security monitoring, cloud infrastructure reconnaissance, and IoT/ICS security analysis. With 12 comprehensive laboratory exercises, 200+ production-ready scripts and tools, and 50+ AI co-pilot prompts, this book provides the most advanced network reconnaissance training available. Perfect for cybersecurity professionals, network security analysts, threat intelligence specialists, penetration testers, and anyone interested in network security and AI-enhanced reconnaissance operations.

• Format: Paperback
• Language: English
• ISBN: B0FS17KRN3
• ISBN13: 9798266469747
• Release Date: September 2025
• Publisher: Independently Published
• Length: 338 Pages
• Weight: 1.73 lbs.
• Dimensions: 0.7" x 8.5" x 11.0"