Hive Moderation

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

CaseScan is an AI-powered content detection platform for platforms, Trust & Safety teams, and law enforcement. It combines deep-learning image and video analysis with exact and perceptual hashing to detect known CSAM, previously unknown CSAM, AI-generated CSAM, and manipulated sexual content. For online platforms, CaseScan provides an API and SDK that can be integrated into uploads, storage, streams, avatars, and chat attachments. Detection results can support automated blocking, human review, escalation, takedowns, and reporting workflows. CaseScan uses a cloud-native, auto-scaling architecture and processes scanned media under a 0 Media Retention approach. For law enforcement, CaseScan serves as a field and lab triage tool that help investigators identify and prioritize suspected CSAM on seized devices, including previously unknown material. It can operate locally without internet or external database access and includes investigator-protection features such as image blurring.