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Description

AIBA, a cybersecurity firm based in Norway, focuses on utilizing AI technology for content moderation across digital platforms, particularly aimed at shielding children and adolescents from various online dangers such as grooming, bullying, and harmful interactions. Their flagship product, Amanda, is an AI-driven moderation solution that aims to protect younger users in online gaming and social networking settings. By using real-time detection methods, Amanda effectively identifies and addresses harmful content, automating responses while allowing more intricate cases to be reviewed by human moderators. Additionally, it provides valuable insights into user behavior and community dynamics, assisting organizations in creating safer and more appealing online environments. With a strong emphasis on regulatory compliance, Amanda is designed to help organizations meet international safety and transparency laws, including the EU's Digital Services Act, COPPA & KOSA in the United States, the Online Safety Bill in the UK, and Australia's Online Privacy Bill, thus ensuring that the platform adheres to the latest safety standards in digital interactions. This comprehensive approach not only protects young users but also promotes a culture of responsibility and awareness among digital platforms.

Description

Safer is designed to combat the viral dissemination of child sexual abuse material on your platform, ensuring enhanced safety for your team, organization, and users alike. This system not only boosts team efficiency and well-being but also fosters collaboration by dismantling silos and tapping into community expertise. Utilizing advanced perceptual hashing and machine learning algorithms, it effectively identifies both known and unknown CSAM. Flagged content can be queued for review through moderation tools specifically developed with employee wellness as a priority. Verified CSAM is reviewed and reported, with content securely archived to meet regulatory standards. Additionally, Safer expands protective measures to detect both known and potentially new or unreported content at the point of upload. The Safer community collaborates to discover more abuse materials, and our APIs are engineered to enhance the collective knowledge surrounding child abuse content by sharing hashes, comparing with industry-standard hashes, and providing input on false positives. This collective effort not only strengthens the fight against abuse but also encourages a proactive approach to safeguarding vulnerable individuals.