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AI‑Powered Reverse Engineering

Laptop and code editor representing AI‑powered reverse engineering
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🚀 This training will be available in the upcoming release cycle.
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Building Agentic RE

Overview​

In this course, you’ll learn how to design and deploy LLM‑powered agents that work alongside your reverse engineering workflow — not just as passive tools, but as autonomous collaborators capable of reasoning, adapting, and acting.

We’ll cover:

  • Private local stacks for secure, air‑gapped environments
  • Leveraging frontier models for maximum analytical depth
  • Integrating AI into static and dynamic analysis pipelines
  • Automating vulnerability discovery and triage
  • Building scalable, repeatable research workflows

Why This Matters​

Reverse engineering is increasingly complex, with binaries that resist traditional tooling. By combining human expertise with agentic AI, you can:

  • Shorten analysis cycles
  • Surface subtle behavioral patterns
  • Scale your research without sacrificing depth or accuracy

Hands‑On Labs​

You’ll get guided, practical exercises that walk you through:

  1. Setting up a local LLM stack with GPU acceleration
  2. Connecting agents to RE tools like Ghidra, IDA Pro, or Radare2
  3. Using frontier models for advanced reasoning on obfuscated code
  4. Automating repetitive triage tasks while keeping humans in the loop