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The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
How Attackers Trick AI: Lessons from Gandalf’s Creator
Mar 18, 2025
Explore the intriguing world of AI security as experts discuss the alarming vulnerabilities facing modern systems. Discover how attackers use techniques like prompt injections and jailbreaks to exploit AI models. Gain insights into Gandalf’s staggering 60M+ attack attempts, revealing urgent security challenges. Learn about the importance of red teaming and the Dynamic Security Utility Framework in preventing AI disasters. Dive into the balance between security and usability, and the dual role of AI in enhancing creativity while posing risks.
54:35
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Quick takeaways
- Attackers exploit vulnerabilities in AI systems, using methods like prompt injections and jailbreaks to manipulate outputs.
- Data poisoning presents a significant risk during AI model training, potentially embedding harmful alterations that are hard to detect afterward.
Deep dives
Exploration of LLM Security Concepts
LLM security involves understanding various vulnerabilities that can arise in applications that utilize large language models (LLMs). Traditional security concerns, such as permissions and access controls, remain relevant, ensuring only authorized users can access sensitive data. However, LLMs introduce new challenges, as they often blur the line between developer instructions and external inputs, facilitating potential attacks through data manipulation. This new landscape highlights the necessity of robust security measures tailored to LLM contexts, where data itself can trigger unintended behaviors.
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Discover
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