AI inventory and governance

AI models and machine learning components have become integral parts of modern software development. Just like traditional dependencies, these AI models can introduce operational and security risks to your organization.

You can use Endor Labs to perform the following tasks to help you gain visibility into these risks and make informed decisions about AI model usage.

• AI model discovery and evaluation: Search through thousands of open source AI models from Hugging Face. You can also evaluate models across security, activity, popularity, and operational integrity.
• AI model governance and policy management: Configure finding policies to enforce organizational restrictions on AI model usage and quality standards. You can create custom policies to flag specific AI models or providers. You can also track AI model usage across your development pipeline
• AI-powered developer assistance: Use DroidGPT to find relevant open-source components and troubleshoot scanning errors with intelligent recommendations.
• AI security review: Identify potential security issues in your pull requests and get recommendations to fix them.
• Real-time code scanning: Use Endor Labs MCP Server to seamlessly integrate Endor Labs into your IDE to scan both human and AI-generated code in real-time, catching vulnerabilities and issues before they reach production.

The following sections provide information on how to discover AI models, evaluate them, and manage them with Endor Labs.