Securing Generative AI: Essential Threat Modeling Techniques
- Introduction
- Motivation
- What can go wrong
- Generative AI vs Traditional Applications
- Key differences in security considerations
- Unique challenges posed by generative AI
- Threat Modeling Basics and AI-Specific Threats
- Threat modeling frameworks
- Focus on prompt injection and data poisoning
- Example: Simple prompt injection attempt
- Practical Threat Modeling Process
- Simplified system decomposition example
- Threat identification walkthrough
- Example: Input Validation
- Tools Showcase and Mitigation Strategies
- Conclusion and Resources
- Recap key takeaways
- List of recommended tools and further reading
This session took place in track Generative AI and was classified suitable for intermediate domain by the speaker.
