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Welcome back to AI Red Teaming 101!
In this episode, Dr. Amanda Minnich from Microsoft’s AI Red Team dives into one of the most common and impactful vulnerabilities in generative AI systems: direct prompt injection. Learn how attackers can manipulate model behavior by injecting malicious instructions into the input stream, and why this works at a fundamental level.
Amanda walks through real-world examples, including a viral chatbot incident at a car dealership, and explains how prompt injection bypasses guardrails by exploiting how models interpret context.
What You’ll Learn:
How direct prompt injection works and why it’s so effective
How generative models interpret input as a single stream
Real-world consequences of unmitigated prompt injection
✅ Chapters:
00:00 – Welcome back & episode overview
00:13 – What is direct prompt injection?
00:36 – How AI applications process input
01:00 – System prompts, user input, and retrieved data
01:34 – Flattening into a single context window
02:00 – How attackers override instructions
02:40 – Case study: $1 SUV chatbot attack
03:40 – Why the model followed the prompt
04:20 – Broader implications across industries
05:00 – Key lesson: clever prompting, not code
05:30 – What’s next: indirect prompt injection
✅ Links & Resources:
AI Red Teaming 101 Episodes: aka.ms/airt101
AI Red Teaming 101 Labs & Tools: aka.ms/airtlabs
Microsoft AI Red Team Overview: aka.ms/airedteam
✅ Speakers:
Amanda Minnich – Principal Research Manager, Microsoft AI Red Team
LinkedIn: https://www.linkedin.com/in/amandajeanminnich/
Webpage: https://www.amandaminnich.info/
Gary Lopez – Principal Offensive AI Scientist, ADAPT
LinkedIn: https://www.linkedin.com/in/gary-lopez/
#AIRedTeam #AIRT #Microsoft #AI #AISecurity #AIRedTeaming #GenerativeAI #Cybersecurity #InfoSec #cybersecurityawareness #PromptInjection Read More Microsoft Developer
