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Description

Our innovative technology harnesses the power of AI to safeguard your children from dangerous online material. Together, we can ensure that your kids maintain their joyful expressions while exploring the digital world. This solution effectively blocks all types of harmful content, extending beyond just explicit material to include distressing or frightening elements. Our advanced model is capable of identifying over 15 categories of harmful content, such as pornography, violence, and horror. In a comprehensive analysis conducted in 2020, CyberPurify scrutinized more than 21 million pieces of content across various platforms including images, news articles, videos, search engines, and social media. This filtering system empowers you to enhance your children's protection against the potential dangers of the internet. The content monitoring feature evaluates the websites your children visit, actively blocking any harmful images, videos, or advertisements. Additionally, CyberPurify prioritizes your family's privacy by preventing tracking from common third-party systems, spyware, and adware. Tailored specifically with Machine Learning capabilities, CyberPurify Kids not only shields against inappropriate content and ads in browsing environments but also offers robust protection against tracking, phishing attempts, and fraudulent activities. Ultimately, this tool provides peace of mind for parents while fostering a safer online experience for children.

Description

Wardstone functions as a security API for language models, acting as a safeguard between applications and various language model providers by evaluating inputs and outputs for potential threats in four distinct categories during a single request: prompt attacks, content violations, data leaks, and suspicious links. It is adept at identifying jailbreaks, prompt injections, harmful content including hate speech, violence, and self-harm, as well as personally identifiable information like Social Security numbers, credit card details, email addresses, and phone numbers, in addition to detecting dubious URLs. Each response generated provides a detailed risk assessment for each category, achieving this within a swift response time of under 30 milliseconds. Compatible with any LLM provider, it is accessible via a REST API and offers SDKs for multiple programming languages, including TypeScript, Python, Go, Ruby, PHP, Java, and C#. A complimentary tier allows up to 10,000 calls per month without the need for a credit card, and it also features a web-based playground for users to experiment and test functionalities. Users can easily integrate this tool into their existing systems, enhancing the security of their language model interactions.