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4 hours2 hours lecture + 2 hours hands-on labs

AI for Pentesting & Red Teaming

This session explores how AI and machine learning are transforming offensive security. Students learn the fundamentals of AI in security, focusing on reconnaissance and vulnerability discovery enhanced by AI.

Learning Objectives

Apply AI techniques to enhance reconnaissance operations

Utilize ML for automated vulnerability discovery

Leverage LLMs for security analysis and exploit development

Understand ethical boundaries of AI in offensive security

Integrate AI tools into red team workflows

Topics Covered

1

AI and ML fundamentals for security practitioners

2

AI-enhanced reconnaissance techniques

3

Automated vulnerability discovery with ML

4

Natural language processing for OSINT

5

AI-powered exploit suggestion and generation

6

Machine learning for anomaly detection evasion

7

Social engineering with AI assistance

8

LLMs for security code analysis

9

Ethical considerations in AI-powered offensive security

Skills You'll Gain

AI-Enhanced ReconnaissanceML Vulnerability DiscoveryNLP for OSINTAI-Assisted Social Engineering

Ready to Get Started?

Join this session and advance your DevSecOps and AI security skills