Garak
LLM Vulnerability Scanner
The industry-leading open-source vulnerability scanner specifically designed for Large Language Models. Detect prompt injection, jailbreaking, and other AI-specific vulnerabilities with comprehensive testing frameworks.
Comprehensive LLM Security Testing
Garak provides extensive testing capabilities designed specifically for AI model security assessment, covering all major vulnerability categories and attack vectors.
Modular Architecture
Garak's modular design allows for flexible testing configurations and easy integration with existing security workflows. Each component can be customized and extended for specific use cases.
Probe Engine
Core testing engine that executes vulnerability probes against target models with configurable parameters.
Detector Framework
Intelligent detection system that analyzes model responses to identify potential vulnerabilities and security issues.
Generator System
Automated test case generation system that creates diverse attack scenarios based on vulnerability patterns.
Reporting Module
Comprehensive reporting system that generates detailed vulnerability assessments and remediation recommendations.
Architecture Flow
Vulnerability Detection Capabilities
Garak can detect a wide range of LLM-specific vulnerabilities, from prompt injection to model inversion attacks.
Implementation Guide
Get started with Garak in your security testing pipeline with these step-by-step instructions.
Quick Start
Installation
Install Garak using pip package manager
Basic Scan
Run a basic vulnerability scan against an OpenAI model
Custom Configuration
Create a custom configuration file for specific testing requirements
Report Analysis
Review generated reports and vulnerability findings
Integration Options
Success Stories
Real-world implementations and results from organizations using Garak for LLM security testing.
Ensuring customer data protection and regulatory compliance in AI-powered chat systems.
Identified and mitigated 15 critical vulnerabilities before production deployment.
Preventing medical misinformation and protecting patient privacy in AI interactions.
Achieved HIPAA compliance and reduced security incidents by 90%.
Protecting against prompt injection attacks that could manipulate product recommendations.
Prevented potential revenue loss and maintained customer trust through proactive security.
What Security Experts Say
Testimonials from security professionals and researchers using Garak in production environments.
"Garak has become an essential part of our AI security toolkit. The comprehensive vulnerability detection capabilities have helped us identify issues we never would have found manually."
"The integration with our CI/CD pipeline was seamless. We now catch LLM vulnerabilities before they reach production, saving us significant time and resources."
"As a security researcher, I appreciate Garak's extensibility and the quality of its vulnerability detection. It's become my go-to tool for LLM security assessments."
"The detailed reporting and risk scoring features help us communicate security findings effectively to both technical and business stakeholders."
"Garak's open-source nature allows us to customize it for our specific use cases while contributing back to the community. It's a win-win situation."
"The comprehensive coverage of OWASP Top 10 for LLMs makes Garak invaluable for compliance and security audits. Highly recommended for any organization using AI."
Start Securing Your LLMs Today
Join thousands of security professionals using Garak to identify and mitigate AI security risks in production systems.