Fortifying AI: Understanding Prompt Attacks and How to Defend Against Them
LLM features can become new attack surfaces. As AI systems move into enterprise applications, prompt injection, extraction, and jailbreaks turn from demos into real design risks. Ethan DeMott uses "Fortifying AI: Understanding Prompt Attacks and How to Defend Against Them" to connect those attacks to layered defenses teams can design before the feature is exposed.
Session details
As AI systems become increasingly integrated into enterprise applications, they also introduce a new and rapidly evolving attack surface. In this session, Ethan DeMott explores the emerging landscape of prompt-based attacks on large language models, including prompt extraction, prompt injection, and jailbreak techniques. Attendees will gain a practical understanding of how attackers exploit AI systems to leak sensitive data, manipulate outputs, and bypass safety controls. The session will also walk through real-world-inspired scenarios and demonstrate how seemingly harmless prompts can be weaponized. Beyond identifying threats, this talk focuses on actionable defenses. Ethan will cover layered protection strategies across the model, prompt, and system levels—equipping developers, engineers, and leaders with the tools needed to build more secure and trustworthy AI applications.
Primary action
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Agenda facts
- Format
- Talk / Presentation
- Kind
- Conference Session
- Topic
- Cybersecurity, Privacy, and System Resilience
- Level
- Intermediate
- Time
- Oct 29, 2026, 11:15 AM
- Room
- Room E
- Duration
- 60 min
Speakers
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Ethan DeMott
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LinkedIn
Session LinkedIn Post
LLM features can become new attack surfaces. As AI systems move into enterprise applications, prompt injection, extraction, and jailbreaks turn from demos into real design risks. Ethan DeMott uses "Fortifying AI: Understanding Prompt Attacks and How to Defend Against Them" to connect those attacks to layered defenses teams can design before the feature is exposed. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/fortifying-ai-understanding-prompt-attacks-and-how-to-defend-against-them/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-fortifying-ai-understanding-prompt-attacks-and-how-to-defend-against-them #MITechCon #AISecurity #PromptInjection #Cybersecurity
Short social
Short Session Post
LLM features can become new attack surfaces. Learn how prompt injection, extraction, and jailbreaks work, plus layered defenses that reduce risk. https://www.mitechcon.net/sessions/fortifying-ai-understanding-prompt-attacks-and-how-to-defend-against-them/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-fortifying-ai-understanding-prompt-attacks-and-how-to-defend-against-them #MITechCon #AISecurity
Newsletter / email
Newsletter Or Email Blurb
Feature this MITechCon 2026 session in your newsletter or email: "Fortifying AI: Understanding Prompt Attacks and How to Defend Against Them". LLM features can become new attack surfaces. As AI systems move into enterprise applications, prompt injection, extraction, and jailbreaks turn from demos into real design risks. Ethan DeMott uses "Fortifying AI: Understanding Prompt Attacks and How to Defend Against Them" to connect those attacks to layered defenses teams can design before the feature is exposed. Format: Conference Session. Topic: Cybersecurity, Privacy, and System Resilience. Level: Intermediate. Scheduled for Oct 29, 2026, 11:15 AM in Room E. Learn more and share the session: https://www.mitechcon.net/sessions/fortifying-ai-understanding-prompt-attacks-and-how-to-defend-against-them/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-fortifying-ai-understanding-prompt-attacks-and-how-to-defend-against-them