Lilly Tech Systems
AI Network Forensics
Master AI-powered network forensics techniques. Learn how machine learning accelerates packet analysis, automates traffic reconstruction, enhances threat hunting capabilities, and streamlines digital evidence collection for incident investigations.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
How AI is revolutionizing network forensics and digital investigation methodologies.
2. Packet Analysis
AI-powered deep packet inspection, protocol classification, and anomaly detection in captured traffic.
3. Traffic Reconstruction
ML-based session reconstruction, timeline building, and data exfiltration detection.
4. Threat Hunting
AI-assisted proactive threat hunting in network telemetry to uncover hidden adversaries.
5. Evidence Collection
Automated digital evidence collection, chain of custody, and forensic reporting with AI.
6. Best Practices
Building effective AI forensics programs and maintaining investigation quality.
What You'll Learn
By the end of this course, you'll be able to:
Analyze Packets with AI
Use ML models to classify protocols, detect anomalies, and identify malicious payloads in network captures.
Reconstruct Attacks
Leverage AI to automatically reconstruct attack timelines and data exfiltration paths from network logs.
Hunt Threats Proactively
Apply AI-driven hypothesis generation and pattern matching to discover hidden threats in network data.
Collect Digital Evidence
Automate forensic evidence collection while maintaining chain of custody and legal admissibility.