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Introducing ThreatModelingGPT: Your AI-Powered Threat Intelligence Partner

February 7, 2026

Threat modeling is one of the most critical — and most time-consuming — activities in the security lifecycle. Identifying risks, mapping attack surfaces, and reasoning through potential exploits requires deep expertise, structured methodologies, and substantial mental effort. What if you could accelerate the initial modeling phase and catch blind spots you might have missed?

That’s exactly what ThreatModelingGPT is designed to do. It’s a free, public Custom GPT built on OpenAI that applies industry-standard threat modeling frameworks to help you identify potential risks, analyze attack surfaces, and suggest mitigation strategies — all through a conversational interface.

What ThreatModelingGPT Does

ThreatModelingGPT is built with multiple proven threat modeling methodologies, allowing you to analyze systems through different security lenses:

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STRIDE

Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege

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PASTA

Process for Attack Simulation and Threat Analysis — risk-centric methodology

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LINDDUN

Privacy threat modeling framework for identifying data protection risks

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MAESTRO

AI/ML-specific threat modeling for machine learning systems

Whether you’re analyzing a cloud microservice, a machine learning pipeline, or an enterprise authentication system, ThreatModelingGPT can apply the right framework to surface risks specific to your architecture.

Domains Covered

Software & Systems

Web apps, APIs, microservices, databases, authentication flows

Cloud Infrastructure

AWS, Azure, GCP deployments, Kubernetes, serverless architectures

AI/ML Models

LLM applications, RAG systems, ML pipelines, inference endpoints

Enterprise Architecture

SSO systems, identity providers, data platforms, CI/CD pipelines

Not a Replacement, But a Force Multiplier

ThreatModelingGPT is not here to replace security engineers. Threat modeling requires deep context, business knowledge, and the intuition that comes from years of experience. What this tool does is:

  • >Speed up the initial phase — Get a structured starting point rather than staring at a blank page
  • >Catch blind spots — Surface attack vectors you may not have considered
  • >Apply multiple frameworks — Quickly compare STRIDE, PASTA, LINDDUN, or MAESTRO perspectives
  • >Educate and train — Help junior engineers learn threat modeling patterns

Think of it as a smart assistant that helps you think through threat scenarios more systematically and efficiently.

How to Use It

Simply describe your system or component, and ThreatModelingGPT will analyze it through the lens of established threat modeling frameworks. Here are some example prompts:

>“Threat model my REST API with OAuth2 authentication”
>“Analyze attack surface for a Kubernetes microservices deployment”
>“Apply STRIDE to an LLM application with RAG”
>“Identify data privacy risks in my customer analytics pipeline”
>“Threat model an enterprise SSO system using PASTA”
>“What are the supply chain risks in my CI/CD pipeline?”
>“Apply LINDDUN to my healthcare data platform”
>“Model threats for an ML inference service on AWS”

You can specify which methodology you want to use, or let ThreatModelingGPT recommend the most appropriate framework based on your system type.

Try ThreatModelingGPT — Free & Public

Start identifying risks, analyzing attack surfaces, and building more secure systems with AI-powered threat intelligence. Available to everyone at no cost.

Open ThreatModelingGPT

Built with Custom GPTs on the OpenAI website. Requires a ChatGPT account.