Audience

AI platform teams that need customizable, multimodal content moderation without retraining a separate safety model for every policy

About Shieldstral

Shieldstral is a 3B open-weights, policy-adaptive multimodal safety classifier designed to evaluate text, images, and text-plus-image content using policies defined at inference time. Instead of relying on a fixed taxonomy of harm categories, it frames moderation as a binary question-answering task: users provide an instruction describing the evaluation context and strictness, a yes-or-no safety question, and the content to judge. The model reads the “yes” and “no” logits and converts them into a continuous, calibrated safety score, allowing applications to threshold or rank results by confidence rather than depend on a single discrete label. This formulation unifies prompt classification, response moderation, refusal detection, toxicity detection, and multimodal safety in one interface, while letting teams adapt policies without retraining the model. Shieldstral can evaluate prompts, responses, prompt-response pairs, images, and images with accompanying text.

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Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/shieldstral/

Videos and Screen Captures

Shieldstral Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
Support
Online

Shieldstral Frequently Asked Questions

Q: What kinds of users and organization types does Shieldstral work with?
Q: What languages does Shieldstral support in their product?
Q: What kind of support options does Shieldstral offer?
Q: What type of training does Shieldstral provide?

Shieldstral Product Features

Content Moderation

Social Media Moderation
Image Moderation
Audio Moderation
Video Moderation
Artificial Intelligence
Moderation by Humans
Brand Moderation
User-Generated Content (UGC) Moderation
Reporting / Analytics
Customizable Filters
Comment Moderation