UsageGuard

What is UsageGuard?

UsageGuard is a comprehensive platform designed to empower businesses in building and monitoring AI applications. It offers a robust set of features that enhance security, control costs, and manage usage effectively. With customizable policies, organizations can tailor their AI usage to meet specific project or team needs, ensuring that security measures are aligned with operational requirements.

Key features of UsageGuard include:

Prompt sanitization to prevent prompt injection attacks.

Multiple connections with unique security policies and usage limits.

Data isolation and end-to-end encryption for enhanced privacy.

Minimal data retention practices to safeguard user information.

UsageGuard Features

UsageGuard acts as an intermediary between your application and large language models (LLMs), managing API calls, applying security policies, and overseeing data flow to ensure safe and efficient use of AI language models. It includes features such as prompt sanitization to prevent malicious inputs from reaching the LLM provider, thereby protecting against prompt injection attacks.

Additionally, UsageGuard allows for the customization of security policies tailored to different projects or teams within an organization. Users can create multiple connections, each with its own set of security policies, usage limits, and configurations, making it adaptable for various environments like development, staging, and production.

Supports major LLM providers including OpenAI, Anthropic, and Meta Llama.

Data isolation and end-to-end encryption for privacy and security.

Minimal changes required to integrate with existing applications.

Why UsageGuard?

UsageGuard offers a comprehensive platform designed to empower businesses in building and monitoring AI applications with enhanced security and efficiency. One of the key advantages of using UsageGuard is its ability to prevent prompt injection attacks through prompt sanitization features, ensuring that malicious inputs do not reach the LLM provider. This level of security is crucial for organizations looking to maintain the integrity of their AI systems.

Additionally, UsageGuard allows for the customization of security policies tailored to different projects or teams within an organization. This flexibility enables businesses to create multiple connections, each with its own set of security policies, usage limits, and configurations, thereby optimizing AI usage across various environments such as development, staging, and production.

Enhanced security features to prevent prompt injection attacks.

Customizable security policies for different projects and teams.

Data isolation and end-to-end encryption to ensure data privacy.

Minimal data retention practices with customizable policies.

24/7 enterprise support with guaranteed SLAs.

How to Use UsageGuard

Getting started with UsageGuard is straightforward and requires minimal changes to your existing code. To integrate UsageGuard into your application, you will primarily need to update your API endpoint to point to UsageGuard. Additionally, you must include your UsageGuard API key and connection ID in your unified inference requests. For detailed instructions, refer to the quickstart guide available in our documentation.

UsageGuard supports a variety of major LLM providers, including OpenAI (GPT models), Anthropic (Claude models), and Meta Llama, among others. The list of supported providers is continuously expanding, so be sure to check the documentation for the most up-to-date information.

Easy integration with minimal code changes.

Support for multiple major LLM providers.

Comprehensive documentation and quickstart guide available.

Ready to see what UsageGuard can do for you?[@portabletext/react] Unknown block type "span", specify a component for it in the `components.types` propand experience the benefits firsthand.