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AI SecurityAdvanced

Threat-Model an LLM App: Prompt Injection & Data Leakage

Before launch, threat-model an LLM app end to end: prompt injection, data leakage and tool abuse, with the mitigations engineering can ship.

This scenario follows one realistic day on the job. You will see the request that lands, the tools you open, the problem, the fix, and how to explain the work in an interview. Buy once and keep lifetime access.

What you will learn

  • Walk the scenario from the first ticket to the final write-up
  • Use the same tools and templates practitioners open on the job
  • Document evidence the way auditors and leads expect to see it
  • Explain the work in STAR-style interview answers
  • Spot the common mistakes that slow new hires down
  • Leave with reusable job aids you can take into the role

Who this video is for

  • Career changers preparing for their first cybersecurity interview
  • Analysts who want hands-on practice beyond slide-deck courses
  • Students who need realistic examples for labs and portfolios
  • Hiring managers looking for a shared language with candidates

Curriculum

6 sections, 12 lessons, 39m

The day begins
  • The day begins03:00
  • The day begins checklist1.2 MB
The tools on the job
  • The tools on the job05:00
  • The tools on the job checklist1.2 MB
The problem
  • The problem04:00
  • The problem checklist1.2 MB
How it's done
  • How it's done09:00
  • How it's done checklist1.2 MB
Speak like an expert
  • Speak like an expert04:00
  • Speak like an expert checklist1.2 MB
Job aids
  • Job aids02:00
  • Job aids checklist1.2 MB

Tools you'll see

  • SIEM
  • GRC platforms
  • Ticketing
  • eMASS-style ATO workflows
  • AWS
  • Azure
  • Microsoft 365

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