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Software Engineering Radio - the podcast for professional software developers

SE Radio 648: Matthew Adams on AI Threat Modeling and Stride GPT

Dec 27, 2024
Matthew Adams, Head of Security Enablement at Citi, dives into the revolutionary role of large language models like Stride GPT in threat modeling. He shares insights on the STRIDE methodology and the historical context of security frameworks. The conversation explores practical applications in web development, the need for contextual judgment in security measures, and overcoming challenges like AI hallucinations. Adams also discusses empowering small businesses through open-source tools and highlights the transformative potential of AI in incident response.
46:56

Episode guests

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Quick takeaways

  • Threat modeling is essential for proactively identifying security risks early in the design phase to minimize costs and disruptions.
  • The use of large language models like Stride GPT significantly streamlines the threat modeling process, enhancing collaboration and efficiency in security assessments.

Deep dives

Understanding Threat Modeling

Threat modeling is a structured process aimed at identifying potential security risks and vulnerabilities within systems. It involves evaluating what could go wrong and how to address these issues to minimize their impact. The analogy of locking car doors when entering a dangerous area illustrates that threat modeling is a practice we often employ in everyday life, which can also be applied when developing systems. This approach encourages security professionals to balance risks with appropriate mitigations throughout the design process.

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