This post was originally published on Pure Storage
In today’s fast-paced software development environment, where proof of concepts (PoCs) and minimum viable products (MVPs) often drive innovation, security can sometimes be an afterthought. Many smaller projects are subject to the constraints of limited time, budget, and security expertise, yet they face the same threats as large-scale systems. Traditional security processes, such as STRIDE threat modeling, are often overlooked in favor of meeting tight deadlines, potentially leaving PoCs vulnerable to serious risks.
Threat Model Mentor, a custom solution powered by large language models (LLMs), was built to address this critical gap. By automating the STRIDE methodology using GPT-based models, Threat Model Mentor makes it possible for developers and project managers—regardless of their security background—to conduct comprehensive threat modeling, ensuring security is baked into projects from the very beginning. This blog will delve into the challenges of traditional STRIDE modeling, the solution provided by Threat Model Mentor, its impact on PoCs and small-scale projects, and the future potential of modularizing this approach for scalable use in various environments.
The blog will also detail how Threat Model Mentor was used specifically for ServiceNow Assistant, a project focused on automating the analysis of HR support tickets and enhancing the knowledge base using
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