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Threat modeling LLM apps
Aug 22, 2024
Donato Capitella, Principal Security Consultant at WithSecure, specializes in threat modeling for AI applications. He discusses the critical need for threat modeling in the context of large language models (LLMs) and shares insights on vulnerabilities, such as prompt injection risks. Donato emphasizes the importance of validating outputs to maintain trustworthiness and explores innovative strategies for secure integration in AI systems. The conversation also touches on the exciting future of LLM technology and the role of ethical hackers in enhancing cybersecurity.
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Quick takeaways
- The podcast emphasizes the need for effective security measures in implementing large language models to mitigate risks associated with user input and output validation.
- Donato discusses his practical experience with threat modeling AI applications, highlighting the importance of proactive monitoring and alignment in ensuring ongoing safety.
Deep dives
Advancements in Speech AI Models
Assembly AI is making significant strides in developing advanced speech AI models that enable the transformation of voice data into actionable insights. These models facilitate tasks such as speech-to-text, speaker identification, and content summarization, which are essential for developers looking to harness voice data effectively. With features like entity recognition and personal identifiable information maskings, developers can extract critical information from voice recordings and streamline their applications efficiently. The user-friendly API provided by Assembly AI allows for easy integration into various applications, promoting innovation and productivity in the tech landscape.
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