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SEC543: AI-Assisted Source Code Analysis and Exploitation for Penetration Testers

SEC543Offensive Operations
  • 2 Days (Instructor-Led)
  • 12 Hours (Self-Paced)
Course authored by:
Ed SkoudisJoshua Wright
Ed Skoudis, Joshua Wright & Chris Davis
SEC560: Enterprise Penetration Testing
Course authored by:
Ed SkoudisJoshua Wright
Ed Skoudis, Joshua Wright & Chris Davis
  • 12 CPEs

    Apply your credits to renew your certifications

  • Intermediate Skill Level

    Course material is geared for cyber security professionals with hands-on experience

  • 10 Hands-On Lab(s)

    Apply what you learn with hands-on exercises and labs

Use AI coding agents to analyze source code, discover logic flaws, and generate custom exploits without needing software development expertise.

Course Overview

SEC543: AI-Assisted Source Code Analysis and Exploitation for Penetration Testers teaches pen testers to use AI coding agents as force multipliers for source code analysis. Map unfamiliar codebases more quickly, surface logic flaws that scanners often miss, and generate custom exploitation tools on demand without writing software from scratch.

What You’ll Learn

  • Map and analyze large codebases using AI to identify entry points and trust boundaries
  • Generate custom security tools, fuzzers, and exploits tailored to each target
  • Discover logic flaws and authorization bypasses that automated scanners miss
  • Extract high-fidelity context from source code to get accurate AI analysis
  • Isolate vulnerable components for safe, controlled testing and exploitation
  • Produce validated findings with reproducible evidence for pen test reports

Business Takeaways

  • Find critical vulnerabilities faster with AI-augmented source code analysis
  • Generate purpose-built exploitation tools in minutes instead of days
  • No software development experience required for this course; the AI reads code while your team provides security expertise
  • Move beyond scanner output to context-aware findings with real business impact
  • Immediately applicable methodology that can be adapted to many codebases and languages

Course Syllabus

Explore the course syllabus below to view the full range of topics covered in SEC543: AI-Assisted Source Code Analysis and Exploitation for Penetration Testers.

Section 1Foundations, Environment Provisioning, and Repository Mapping

Build the foundations for AI-augmented penetration testing. Establish the operator mindset for working with AI models, configure a secure agent environment, learn to map unfamiliar codebases without reading every line of code, and master the context engineering techniques that determine whether AI produces actionable results or hallucinated noise.

Topics covered

  • AI failure modes, hallucination patterns, and verification discipline
  • Agentic stack configuration: models, tools, and secure workspaces
  • Strategic repository mapping with AI-assisted codebase navigation
  • Context engineering and high-fidelity artifact creation
  • End-to-end vulnerability discovery pipeline from code to finding

Labs

  • 1.1 The Alignment Gap: AI failure modes and verification discipline
  • 1.2 Secure Agent Configuration: build your AI pen test workspace
  • 1.3 The Cartographer: map a real codebase without reading the code
  • 1.4 High-Fidelity Context Extraction: feed AI the right code slices
  • 1.5 Zero to Vulnerability: full pipeline from source code to finding

Section 2Tool Generation, Execution, and Validation

Turn source code knowledge into validated findings. Generate custom security tools on demand, hunt for logic flaws and authorization bypasses, isolate vulnerable components for safe testing, and produce confirmed exploits with reproducible evidence structured for professional pen test reports.

Topics covered

  • Just-in-Time Toolsmithing: custom parsers, scanners, and analysis tools
  • Logic flaw identification and vulnerability hypothesis development
  • Component isolation for safe, focused exploitation testing
  • Automated exploit generation, fuzzing, and validation
  • Evidence capture and professional pen test report writing

Labs

  • 2.1 The Protocol Surgeon: build a custom protocol parser with AI
  • 2.2 The Bug Hunter: discover logic flaws through AI-guided analysis
  • 2.3 Component Isolation: extract and test vulnerable code in isolation
  • 2.4 The Crash and Report: exploit, fuzz, and document your findings

Things You Need To Know

We're updating our course schedule - please check back later.

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