A one-page diagnostic record distinguishing response, request, and execution evidence
An inspection memo distinguishing confirmed facts from areas not yet verified.
Starts Nov 9
Finish Nov 15
Career Verified
I am a practitioner who started with penetration testing and builds information security management systems.
I handle annual security assessments of infrastructure, web, and applications for automotive manufacturers and energy companies.
I assessed them layer by layer and handled the same client’s ISMS-P certification through three rounds: initial, follow-up, and renewal.
I responded by independently carrying out the technical safeguards component.
Currently, as the information security officer in a one-person team, I am preparing for initial certification while establishing AI security governance.
I am designing the framework. Since this is an area where standards are still being established, starting with defining the scope of controls themselves,
It is a position where I must establish them myself.
I hold certifications as an Engineer Information Security, CPPG, and ISO/IEC 27001 Auditor, and at Dongguk University’s International Information Security Department,
I am researching leakage paths in AI environments and comparing them against authentication criteria in the Graduate School’s Department of Artificial Intelligence Security.
5 years and 9 months of experience. Client names and vulnerabilities actually discovered are subject to confidentiality, so in lectures
do not cover them in lectures.
If you receive a response saying “Sent successfully,” can you conclude that it was actually sent?
A model’s response is one piece of evidence. To make a judgment, you need to cross-check the records for the same request: what you asked the tool to do, whether approval is still pending, and whether execution and delivery were confirmed. In this challenge, you’ll organize that process on a single diagnostic record sheet.
An introductory course for security professionals with experience in web and infrastructure security who are new to AI diagnostics. You can participate without purchasing a paid course or having an AWS account. Drawing on my six years as a security professional, including experience with penetration testing, web and infrastructure assessments, and ISMS-P certification, I’ll show you how to read records and make informed judgments.
The first run is free and will be held with a minimum of 1 and a maximum of 10 participants. Registration is open from November 2–8, 2026, and the challenge runs from November 9–15. This is not a course that promises live lectures or consultations at set times; instead, participants read the mission materials and write their answers.
The cases in this course are simulated records for educational purposes. We do not claim to reproduce actual model calls, external email delivery, or RAG execution. You can review the cases first in the free 90-second demo. https://inf.run/Hnrgf
What You’ll Do Over 7 Days
Day 1: Separate model responses, tool requests, and executions into three categories.
Day 2: Link records for the same request using the case ID and request ID.
Day 3: Distinguish pending approval from whether execution actually occurred.
Day 4: Rather than assuming that a timeout means success or failure, determine what evidence to check next.
Day 5: Compare permission filtering before model input with screen masking after answer generation.
Day 6: Fill in the eight required items and draft the diagnostic record.
Day 7: Recheck the evidence against the conclusions, then submit the final record, reasons for revisions, and learning feedback.
What You’ll Have When You Finish
A one-page diagnostic record sheet that separately lists response, request, and execution evidence, along with a note summarizing unverified areas and next checks. The platform’s completion requirement is submission of all 7 missions, while learning outcomes are reviewed separately based on the evidence and judgments in the submissions. Views and downloads do not count as completion of the practice. This simulated analysis is counted separately from completing Mission 0 of the existing course.
Questions and Submission Guidelines
For questions, please include the case ID or request ID, the evidence you reviewed, and where you got stuck. Answers will be limited to the materials covered in the course and guidance on completing the worksheet. We do not provide real-time consultations, guaranteed response times, or diagnostics for external systems. Please remove any personal information, tokens, or actual organizational materials before submitting.
You can continue learning to run models in a real-world environment with the environment setup and Mission 0 from the existing AI Red Teaming Part 1 course. Purchasing the existing course is not required to participate in this free challenge.
11월
9일
챌린지 시작일
2026년 11월 9일 오전 12:00
챌린지 종료일
2026년 11월 15일 오후 11:30
All
8 lectures ∙ (1min)
Course Materials:
Who is this course right for?
A security professional with experience in web and infrastructure security but new to AI assessments.
A practitioner unsure what criteria to use to evaluate the model’s responses
Need to know before starting?
It helps to understand the basics of HTTP requests and logs.
Read the mock transcripts and organize them into a document. No paid models, AWS account, or existing course purchase is required.
Not necessary. We’ll use the free demo and the training mock records provided for the mission. You can participate without purchasing the existing AI red teaming course, and this challenge won’t make paid model calls or create AWS resources.
No. This challenge involves analyzing simulated logs and completing a diagnostic report. It does not claim that an actual model was run or that anything was sent externally. Platform completion is marked by submitting all 7 missions, while an actual first hands-on completion is counted only when separate evidence is verified, such as execution results in the user’s own environment, cost checks, and resource cleanup.
취소 및 환불 규정
챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.
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