Session

LLM-Powered private Threat Modeling

In this session, we'll explore the development of an in-house threat modeling assistant that leverages Large Language Models through AWS Bedrock and Anthropic Claude. Learn how we're building a private solution that automates and streamlines the threat modeling process while keeping sensitive security data within our control. We'll demonstrate how this proof-of-concept tool combines LangChain and Streamlit to create an interactive threat modeling experience. Join us to see how modern AI technologies can enhance security analysis while maintaining data privacy.

Murat Zhumagali

Principal Security Engineer at Progress ShareFile

Raleigh, North Carolina, United States

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