This post was originally published on Pure Storage
In today’s hyper-competitive and fast-paced software development world, ensuring security is not a luxury—it’s a necessity. Yet, one of the most critical components of secure system design, threat modeling, remains out of reach for many teams due to its complexity and the specialized expertise it demands.
At Pure Storage, we envisioned using OpenAI’s custom GPT capability to create a “Threat Model Mentor GPT” to bridge this gap. Designed to simplify and democratize threat modeling, this AI-powered tool empowers teams to identify, assess, and mitigate security risks early in the development lifecycle. Here’s the story of how we built it and how it’s revolutionizing secure software development.
Understanding the Problem Space
Threat modeling is a foundational step in designing secure systems, identifying vulnerabilities, and mitigating risks. Frameworks such as STRIDE provide systematic approaches to categorizing threats, but they come with significant challenges:
Lack of expertise: Many teams lack access to security professionals skilled in threat modeling. This gap often leads to overlooked vulnerabilities, increasing the risk of data breaches and system compromises. Time constraints: Manual threat modeling is resource intensive and often delays project timelines, making it difficult to integrate into fast-moving development cycles. Integration difficulties: Aligning threat modeling with
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