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Average Ratings 0 Ratings

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ease
features
design
support

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Description

MAIHEM develops AI agents designed to consistently evaluate your AI applications. Our platform allows you to fully automate the quality assurance of your AI, guaranteeing optimal performance and safety from the initial stages of development through to deployment. Say goodbye to tedious hours spent on manual testing and the uncertainty of randomly checking for vulnerabilities in your AI models. With MAIHEM, you can automate your AI quality assurance processes, ensuring a thorough analysis of thousands of edge cases. You can generate numerous realistic personas to engage with your conversational AI, allowing for a broad scope of interaction. Additionally, the platform automatically assesses entire dialogues using a customizable array of performance indicators and risk metrics. Utilize the simulation data generated to make precise enhancements to your conversational AI’s capabilities. Regardless of the type of conversational AI you are using, MAIHEM is equipped to help elevate its performance. Furthermore, our solution allows for easy integration of AI quality assurance into your development workflow with minimal coding required. The user-friendly web application provides intuitive dashboards, enabling comprehensive AI quality assurance with just a few clicks, streamlining the entire process. Ultimately, MAIHEM empowers developers to focus on innovation while maintaining the highest standards of AI quality assurance.

Description

Garak evaluates the potential failures of an LLM in undesirable ways, examining aspects such as hallucination, data leakage, prompt injection, misinformation, toxicity, jailbreaks, and various other vulnerabilities. This free tool is designed with an eagerness for development, continually seeking to enhance its functionalities for better application support. Operating as a command-line utility, Garak is compatible with both Linux and OSX systems; you can easily download it from PyPI and get started right away. The pip version of Garak receives regular updates, ensuring it remains current, while its specific dependencies recommend setting it up within its own Conda environment. To initiate a scan, Garak requires the model to be analyzed and, by default, will conduct all available probes on that model utilizing the suggested vulnerability detectors for each. During the scanning process, users will see a progress bar for every loaded probe, and upon completion, Garak will provide a detailed evaluation of each probe's findings across all detectors. This makes Garak not only a powerful tool for assessment but also a vital resource for researchers and developers aiming to enhance the safety and reliability of LLMs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Cohere
Conda
Hugging Face
OpenAI
Replicate

Integrations

Cohere
Conda
Hugging Face
OpenAI
Replicate

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

MAIHEM

Country

United States

Website

www.maihem.ai/

Vendor Details

Company Name

garak

Website

github.com/leondz/garak/

Product Features

Vulnerability Scanners

Asset Discovery
Black Box Scanning
Compliance Monitoring
Continuous Monitoring
Defect Tracking
Interactive Scanning
Logging and Reporting
Network Mapping
Perimeter Scanning
Risk Analysis
Threat Intelligence
Web Inspection

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