Guardrails

Implement safety measures and usage controls to ensure responsible AI deployment.

Overview

Guardrails are safety measures and usage controls that help ensure your AI deployments operate within defined boundaries. They protect against harmful outputs, prevent misuse, and help maintain compliance with regulations and ethical guidelines.

Key Features

• Content Filtering: Detect and filter harmful, inappropriate, or sensitive content in both inputs and outputs.
• Usage Controls: Set rate limits, usage quotas, and access controls to manage resource utilization and costs.
• Security Measures: Implement authentication, authorization, and data protection measures to secure your AI deployments.
• Compliance Tools: Ensure your AI deployments comply with relevant regulations and industry standards.

Types of Guardrails

• Input Guardrails: Filter and validate user inputs before they reach your models to prevent prompt injection and other attacks.
• Output Guardrails: Filter model outputs to prevent harmful, biased, or inappropriate content from reaching users.
• Operational Guardrails: Control how and when your models are used, including rate limiting, authentication, and authorization.

Getting Started

To implement guardrails for your AI deployments, navigate to the Guardrails section in your project dashboard. From there, you can configure content filters, usage controls, and other safety measures for your models.