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What is Shieldstral?

Shieldstral is a cutting-edge multimodal safety classifier featuring a 3 billion parameter open-weight architecture, capable of evaluating text, images, and mixed text-image content based on policies that are defined dynamically during the inference process. Instead of following a rigid set of harm categories, it treats moderation as a binary question-and-answer dialogue: users provide a contextual instruction detailing the criteria and level of strictness for evaluation, pose a yes-or-no safety question, and submit the content for review. By interpreting the “yes” and “no” logits, it produces a continuous and calibrated safety score, which allows applications to prioritize results based on confidence rather than relying solely on a singular categorical label. This innovative design seamlessly combines prompt classification, response moderation, refusal detection, toxicity assessment, and multimodal safety evaluation into one cohesive interface, giving teams the flexibility to adjust policies without requiring re-training of the model. The adaptability of Shieldstral enables it to effectively analyze various inputs including prompts, responses, image content, and combinations of images with text, thereby serving as a powerful tool for comprehensive safety assessments. Consequently, Shieldstral stands as a noteworthy leap forward in the realm of content moderation technologies, reinforcing safety measures across digital platforms.

What is CEASE.ai?

A groundbreaking artificial intelligence system has been introduced to more effectively identify and address child sexual abuse material, with the goal of safeguarding victims more rapidly. By utilizing actual CSAM data, this AI adeptly scans, identifies, and flags new images that portray child exploitation with impressive accuracy. Collaborating with law enforcement agencies and leading Canadian universities, CEASE.ai harnesses a mix of neural networks and diverse AI models to ensure precise detection of such harmful material. The system provides investigators with an intuitive plugin that enables them to upload images from ongoing cases and utilize hash lists to exclude known content. Following this, the AI proposes possible labels and prioritizes images that could contain previously unrecognized CSAM. Investigators are then able to review the flagged images, confirm their illicit nature, bolster their cases against offenders, and hasten the rescue of at-risk victims. Moreover, social media platforms connect with the CEASE.ai API endpoint, allowing for the real-time processing of all user-uploaded images, which ensures that any content associated with child abuse is quickly identified and classified. This innovative methodology not only improves the efficiency of investigations but also plays a vital role in the ongoing effort to protect vulnerable children, ultimately contributing to a safer online environment for all.

Media

Media

Integrations Supported

Mistral AI

Integrations Supported

Mistral AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/shieldstral/

Company Facts

Organization Name

Two Hat

Date Founded

2012

Company Location

Canada

Company Website

www.twohat.com/cease-ai/

Categories and Features

Content Moderation

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

Categories and Features

Content Moderation

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

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