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Description
A new artificial intelligence system has been developed to detect and respond to child sexual abuse material more efficiently, aimed at protecting victims at a faster rate. Utilizing real CSAM data, this AI effectively scans, identifies, and flags new images that depict child abuse with remarkable precision. In partnership with law enforcement and prominent Canadian universities, CEASE.ai employs a combination of neural networks and various AI models to achieve accurate detection of such harmful content. The system offers investigators a user-friendly plugin that allows them to upload images from their cases and run hash lists to filter out known content. Subsequently, the AI suggests potential labels and prioritizes images that may contain previously unseen CSAM. Investigators can then examine the flagged images, verify their illegal nature, strengthen their cases against perpetrators, and expedite the rescue of vulnerable victims. Additionally, social media platforms integrate with the CEASE.ai API endpoint, which processes all user-uploaded images in real time, ensuring that any content related to child abuse is swiftly identified and labeled by the system. This innovative approach not only enhances the efficiency of investigations but also contributes significantly to the protection of children at risk.
Description
airis:protect combines cutting-edge artificial intelligence and proprietary neural network frameworks to deliver a robust solution for content safety and compliance. The platform offers a powerful range of features for AI-based image and video monitoring, including automatic detection of nudity, violence, hate symbols, drug use, alcohol, and other restricted content. It supports text moderation, identifying offensive or sensitive overlay text such as emails, phone numbers, and harassment language. Beyond content filtering, airis:protect enhances user authenticity through face detection, age estimation, and identity verification, making it ideal for platforms requiring profile validation or fraud prevention. Businesses benefit from an always-on infrastructure with 24/7 uptime and ultra-low latency—achieving 10ms response times for HD content. Hosted entirely in Germany, the system complies fully with EU GDPR standards, ensuring complete data privacy and security. airis:protect operates independently of major tech ecosystems like Google, Amazon, or Meta, giving clients total control over their AI infrastructure. Certified under CertAI’s AI Management Assessment Standard, it guarantees fairness, transparency, and reliability for companies committed to digital trust and brand safety.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
€0.001 per check
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Two Hat
Founded
2012
Country
Canada
Website
www.twohat.com/cease-ai/
Vendor Details
Company Name
Irisnet GmbH
Founded
2020
Country
Germany
Website
www.airisprotect.com
Product 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
Product 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