AI Threat Modeling

AI-powered threat analysis using the STRIDE methodology

STRIDE Threat Modeling: Generate comprehensive threat analysis for your applications using AI. Identifies Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege threats.

Create Threat Model

Use AI to generate comprehensive STRIDE threat analysis for your application

Application Name *

GitHub Repository URL (Optional)

Provide a GitHub repository URL to analyze the codebase for threat modeling

Local Repository Path (Optional)

Path to local monorepo or parent folder containing multiple repos (alternative to GitHub URL)

Application Type *

Internet Facing *

Yes

No (Internal only)

Highest Sensitivity Level of Data *

Detailed Application Description *

0 characters (minimum 50)

AI Model Provider *

AI Model *

How it works: The AI will analyze your application using the STRIDE methodology to identify potential security threats across all six categories (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege). Generation typically takes 1-2 minutes.

What is STRIDE?

S - Spoofing

Impersonating users or systems

T - Tampering

Unauthorized data modification

R - Repudiation

Denying actions without proof

I - Information Disclosure

Exposing sensitive information

D - Denial of Service

Making services unavailable

E - Elevation of Privilege

Gaining unauthorized permissions

AI-Powered Analysis

Choose from 8 LLM providers including OpenAI GPT-4, Claude, Gemini, and Mistral. Each model generates:

STRIDE threat identification
Attack tree visualization
DREAD risk scoring
Mitigation strategies
Security test cases

Generation typically takes 1-2 minutes

How it Works

Describe Application

Provide details about your application architecture

AI Analysis

LLM generates comprehensive threat model

Review Threats

Explore threats, attack trees, and mitigations

Implement Security

Apply recommended mitigations to your application