
SE Radio 648: Matthew Adams on AI Threat Modeling and Stride GPT
Software Engineering Radio - the podcast for professional software developers
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Specificity and Security in Streamlit Applications
This chapter emphasizes the significance of providing specific inputs to reduce AI hallucinations in cybersecurity applications using large language models. It explores the benefits of using Streamlit for developing and deploying user-friendly tools, alongside considerations for security and privacy, particularly when handling sensitive threat modeling information. The discussion includes best practices for managing threat data and integrating outputs into workflow systems like JIRA to enhance threat modeling processes.
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