How to Secure AI Models in Production Environments | Endor Labs

Summary

This Endor Labs guide explains how to secure AI models in production against prompt injection, model theft, data poisoning, and malicious model files. It notes that traditional SCA and SAST tools cover Python packages but do not scan model artifacts, and that tools understanding ML-specific risks such as insecure serialization formats and model file malware fill that gap.

Topics

• Model and package supply chain

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