An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.

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STRIDE stands for Spoofing, Tampering, Repudiation, Information disclosure, Denial of service and Elevation of privilege, developed by Loren Kohnfelder and Praerit Garg in 1999 to identify potential vulnerabilities and threats to company products

Generative AI has made remarkable strides in creating human-like text, images, and even code. However, traditional models like GPT rely solely on pre-trained knowledge, which can lead to outdated, inaccurate, or hallucinated responses. Retrieval-Augmented Generation (RAG) addresses these limitations. We offer various types of RAG here

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An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.

No description available

An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.

This is enhanced Stride GPT Project

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LLM

threatModel generated from stride gpt using grok api

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Detecta automaticamente componentes de arquiteturas em diagramas utilizando YOLOv8, OCR da Azure e GPT-4o, gerando relatórios estruturados baseados na metodologia STRIDE.

REST API that analyzes architecture diagrams and identifies security threats using the **STRIDE** methodology (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege) with GPT-4 Vision/GPT-4o support.

Empirical study evaluating a human–AI hybrid workflow for generating security requirements and STRIDE-based threat models using GPT-4o-mini in a fully on-premise, air-gapped environment. Applied to 20 real-world projects in a regulated Brazilian public organization.