
All Virtual Training Courses
Exploiting 10x Faster: AI Agents for Vulnerability Finding and Exploitation
32‑hour hands‑on course for experienced vulnerability researchers to harness AI agents, Skills/Subagents, and MCP with Ghidra/IDA/GDB. Build a Multi‑Agent vulnerability finder, attack a real USB stack, and complete a VM‑escape exploit exercise. Practical checklists; no AI pre‑req.

INSTRUCTORS: Omri Ben-Bassat, Vladimir Tokarev // 32 Hours // October 26-31
IoT Emulation and Vulnerability Research with LLMs - From Assisted Device Design to Vulnerability Discovery
Participants will learn about the fundamentals of emulation and fuzzing, how to emulate a custom device in QEMU from the ground up, and how to instrument it for fuzzing and vulnerability research.

INSTRUCTORS: Antonio Nappa, Eduardo Blázquez // 32 Hours // October 25-31
Building Agentic RE: Automating Reverse Engineering & Vulnerability Research with AI
Join this 32-hour course to master reverse engineering in the Agentic Era. Build private AI stacks, develop custom MCP servers, and orchestrate workflows with LLMs as autonomous collaborators. Gain skills to design agentic workflows for analysing binaries and validating results.

INSTRUCTOR: John McIntosh // 32 Hours // October 26-30
Emulation and Fuzzing for Baseband Firmware
In this training, you will learn how to reverse engineer mobile baseband firmware, create fuzzing harnesses, and find bugs via fuzzing!

INSTRUCTORS: Tobias Scharnowski, Marius Muench // 32 Hours // October 26-31
Deconstructing Rust Binaries
Deconstructing Rust Binaries is the first comprehensive training course focused solely on reverse engineering Rust binaries. This course is for any reverse engineer who needs a rapid, practical upskill in your ability to analyze Rust binaries.

INSTRUCTOR: Cindy Xiao // 16 Hours // October 26-29
Virtual Training Registration Charges
| Pricing Model |
16h Training Virtual |
32h Training Virtual |
|---|---|---|
| Early Bird (Till Aug 7) |
USD 2100 | USD 4000 |
| Standard (Aug 8 - Sep 30) |
USD 2300 | USD 4200 |
| Late (Oct 1 - Oct 26) |
USD 2500 | USD 4400 |
