Windows Agentic VR: CSL Virtual
February 2027 Cohort
February 1–4, 2027
Checking current registration pricing…
Coupon deadlines use US Eastern (America/New_York).
Live, instructor-led training for experienced reverse engineers and vulnerability researchers applying agentic workflows to Windows analysis and validation.
Track: AI-Native. Agentic RE or equivalent workflow experience, plus Windows RE and debugging skills, is recommended preparation.
Registration is open for February 1–4, 2027, over four virtual training days. Live instruction runs 09:00–13:00 US Eastern (America/New_York) each day, with the other half of the day for exercises. It follows the same daily format as Agentic RE.
Looking for a future cohort? Contact us to inquire.
What This Offering Covers
Agentic RE covers AI infrastructure and RE/VR workflows across platforms. Windows Agentic VR is platform-specific advanced training: the research craft from Patch Diffing in the Dark, combined with an agentic loop for speed and efficiency. Use local models to find real bugs, connect static analysis and live debugging, and turn research leads into reproducible findings.
Read the Full Course Outline and Prerequisites
Format, Pricing & Lab Setup
| Item | Details |
|---|---|
| Delivery | Live, instructor-led virtual training |
| Virtual duration | Four days, with four hours of live instruction per day |
| Live instruction | 09:00–13:00 US Eastern (America/New_York) |
| Exercises | The other half of each day is set aside for hands-on exercises |
| Labs and models | Run the provided Windows target VMs locally on your own machine. Course model inference is provided, so no GPU is required |
| Early registration | Early Bird: Save $400 through Tuesday, December 15 · Early: Save $200 December 16–Tuesday, January 19 · Standard: Full price January 20–31 |
| Support and recordings | Discord support throughout, plus 7-day stream-only catch-up access to recordings of live sessions |
The two-day Black Hat Asia edition is a separate, partner-hosted offering. Its format and registration terms do not automatically apply to this CSL virtual course.
Daily Schedule
| Day | Live Instruction · 09:00–13:00 US Eastern | Exercises |
|---|---|---|
| February 1 | Turn a coding agent into a reversing agent | Set up the Windows research environment and investigate real CVEs |
| February 2 | Build the loop that checks your work | Connect static analysis, live debugging, and evidence-based validation |
| February 3 | Make the hunt more effective | Refine tools, context, Skills, and agent workflows against the research task |
| February 4 | Take a finding through to a report | Reproduce a finding, validate the PoC, and write an MSRC report ready to file |
Exercises occupy the other half of each training day. See the detailed syllabus for the course arc and prerequisites.
How Does This Compare With Agentic RE?
Agentic RE has a broader scope: building a local LLM stack, training and adapting models, and developing agentic pipelines and workflows for reverse engineering and vulnerability research across platforms. It ends with leveraging coding agents as reversing agents.
Windows Agentic VR takes those coding agents to the next step. The focus is using multiple coding agents for agentic vulnerability research, with specific applications to the Windows platform: patch diffing, static analysis, live debugging, and validating real bugs. The courses overlap in their use of agents, but differ in scope: Agentic RE builds out the stack and workflows; Windows Agentic VR specializes the research loop.
Ask About a Cohort or Your Team
Ask About Windows Agentic VR · Request Private Team Training
Include your Windows RE experience, preferred cohort, time zone, and whether you are attending individually or with a team. We’ll follow up about fit and availability; this is not a paid registration or newsletter subscription.
2027 Schedule · Training FAQ · Course Outline
Registrations funded or sponsored by a government or public institution may receive additional review. If that applies to you, use the institutional registration form instead of the standard checkout.