Prompt Injection: The Hidden Security Risk in AI | AI Security Webinar
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Prompt Injection: The Hidden Security Risk in AI
Prompt injection is one of the most important security risks facing AI applications, LLMs and AI agents today.
As businesses increasingly build with ChatGPT, large language models, AI assistants, RAG systems and AI agents, understanding how untrusted instructions can influence an AI system is becoming an essential AI security skill.
Join the AI Learners Club for a beginner-friendly online webinar exploring prompt injection, LLM security, AI application security and practical ways to build safer AI systems.
No cybersecurity or AI engineering experience is required.
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Date: 15 October 2026
ā° Time: 6:00 PM Sydney time
š» Location: Online
š Level: Beginner friendly
What is Prompt Injection?
Prompt injection occurs when untrusted input changes an AI system's behaviour in a way the application did not intend.
This can happen directly when a user attempts to override an AI application's instructions, or indirectly when malicious instructions appear inside content the AI is processing, such as a webpage, document, email or file.
During this webinar, we'll break the concept down without unnecessary jargon and explore why prompt injection becomes particularly important when AI systems can access external tools, sensitive information or automated actions.
What You'll Learn
š¹ What prompt injection is and why it matters
š¹ The difference between direct and indirect prompt injection
š¹ How malicious or untrusted content can influence an LLM
š¹ What prompts can ā and cannot ā actually do
š¹ Why AI tool access and excessive permissions increase security risks
š¹ Why AI-generated output should be treated as untrusted
š¹ How to separate trusted instructions from untrusted data
š¹ How least privilege can reduce the impact of AI security failures
š¹ Practical patterns for validating AI output before taking actions
š¹ How developers can design AI applications so
model mistakes don't become security incidents
We'll also walk through a safe prompt injection demonstration, practical scenarios and an interactive discussion where participants can identify vulnerabilities and think through potential protections.
The three core security principles we'll explore are:
1. Don't automatically trust AI output
Validate AI responses before allowing them to trigger important actions.
2. Separate instructions from data
User input, documents, websites and external content should be treated as untrusted data rather than application instructions.
3. Limit permissions
Give AI systems access only to the tools, information and actions they actually need.
Who Should Attend?
This webinar is suitable for:
ā¢ AI beginners
ā¢ Developers and software engineers
ā¢ Cybersecurity professionals and students
ā¢ AI enthusiasts
ā¢ Product managers and founders
ā¢ People building with ChatGPT or LLM APIs
ā¢ AI agent and automation builders
ā¢ Anyone interested in AI safety, AI security or responsible AI
You don't need to know how to code to participate.
Speakers
Saanvi Nayak
AI Security Enthusiast & Community Builder
https://www.linkedin.com/in/saanvi-nayak-1926b0403/
Dev Roy
President, AI Learners Club
https://www.linkedin.com/in/aihistorian/