Security by Design
The most cost-effective way to address security vulnerabilities is to prevent them from being introduced in the first place. AI Threat Modeling analyzes your application architecture, design documents, and code to identify potential security risks before they become vulnerabilities.
Our AI models understand common attack patterns, emerging threats, and industry-specific risks, providing proactive security guidance that fits seamlessly into your development workflow.
Key Features
- Automated Threat Identification: AI analyzes architecture diagrams and design docs to find potential threats
- Attack Vector Prediction: Predict how attackers might exploit design flaws before code is written
- Security Requirement Generation: Automatically generate security requirements based on identified threats
- SDLC Integration: Works with existing development tools and processes
- Pattern Recognition: Learns from thousands of real-world attack patterns to identify similar risks
- Remediation Suggestions: Provides specific, actionable recommendations to mitigate identified threats
Shift Left Security
Traditional security testing happens after code is written, often requiring expensive refactoring to fix issues. AI Threat Modeling shifts security left in the development lifecycle, catching potential problems during design and planning phases when they're easiest and cheapest to address.
How It Works
Design Analysis
AI analyzes architecture diagrams, API specifications, and design documents
Threat Identification
Machine learning models identify potential attack vectors and security weaknesses
Risk Assessment
Each identified threat is scored based on likelihood and potential impact
Recommendations
Specific, actionable security recommendations are provided for each threat
Continuous Improvement
AI learns from implemented fixes and adjusts recommendations over time