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What is Wardstone?

Wardstone serves as a protective security API designed for language models, functioning as a barrier between applications and different language model suppliers by assessing both inputs and outputs for possible threats across four specific categories within a single request: prompt attacks, content violations, data leaks, and suspicious links. It excels at detecting jailbreaks and prompt injections, as well as harmful content that includes hate speech, violence, and self-harm, while also identifying personally identifiable information such as Social Security numbers, credit card information, email addresses, and phone numbers, in addition to spotting questionable URLs. Each response it generates comes with a comprehensive risk evaluation for every category, all accomplished in a rapid response time of less than 30 milliseconds. Compatible with any language model provider, it is available through a REST API and supports SDKs in a variety of programming languages including TypeScript, Python, Go, Ruby, PHP, Java, and C#. There is a free tier that allows for up to 10,000 calls per month without requiring a credit card, and it also includes a web-based playground for users to try out and test its functionalities. This tool can be seamlessly integrated into existing systems, significantly improving the security measures of language model interactions, thereby ensuring a safer environment for users and applications alike.

What is Two Hat?

A specialized neural network has been created to streamline the process of triaging reported content online. For years, social media platforms have relied on users to report abusive conduct, hate speech, and various forms of online harm. These flagged reports are then sent to moderation teams that evaluate each one individually. Many platforms face a deluge of reports on a daily basis, with a considerable number being resolved without any further action taken. However, reports concerning urgent issues—such as suicidal threats, violent incidents, terrorism, or child exploitation—may be at risk of being ignored or addressed too slowly. Such delays can lead to severe legal consequences as well. In accordance with the German law known as NetzDG, social media companies must remove reported hate speech and illegal content within a 24-hour window, or they could face fines of up to 50 million euros. As similar laws regarding reported content are emerging in nations like France, Australia, and the UK, the demand for efficient moderation methods is becoming increasingly paramount. The Predictive Moderation product from Two Hat enables platforms to create a custom AI model that learns from the consistent decisions of their moderation teams, thus improving both the speed and accuracy of responses to urgent reports. This advancement not only bolsters user safety but also aids platforms in effectively navigating the intricate landscape of legal compliance. Furthermore, it represents a significant step forward in the ongoing effort to maintain online communities that are both safe and respectful for all users.

Media

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$0/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

JRL Software LTD

Date Founded

2024

Company Website

wardstone.ai

Company Facts

Organization Name

Two Hat

Date Founded

2012

Company Location

Canada

Company Website

www.twohat.com/predictive-moderation-template/

Categories and Features

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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