AIBA
AIBA is a Norwegian cybersecurity company specializing in AI-driven content moderation for digital platforms, with a focus on protecting children and teenagers from online threats such as grooming, bullying, and toxic behavior. Amanda is an AI-powered moderation platform designed to proactively safeguard young users in online games and social media environments. Amanda employs real-time detection to identify and mitigate harmful content, automating enforcement actions and escalating complex cases to human moderators. It offers insights into user behavior and community trends, enabling organizations to foster safer and more engaging online spaces. Built with regulatory compliance in mind, Amanda supports adherence to global safety and transparency regulations, including the EU's Digital Services Act, COPPA & KOSA in the U.S., the UK's Online Safety Bill, and Australia's Online Privacy Bill.
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TrustLab
TrustLab provides out-of-the box future-proof regulatory compliance powered by AI & leading industry experts.
Ensure your platform is compliant with:
EU Digital Services Act (DSA)
UK Online Safety Act
Australian Online Safety Act
Plug-and-play user complaints covering current and future regulatory requirements such as the Digital Services Act.
Compliance with regulatory requirements including transparency reports, messaging, statement of reasons, appeals, and more.
Liability protection for fines from user content moderation.
Monitor & measure platform moderation performance with certainty.
Leverage TrustGraph's AI capabilities and industry benchmark to quantify risk in real time.
Detect and enforce on networks of bad actors promoting harmful content.
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CrowdStrike Falcon
CrowdStrike Falcon is a cloud-native cybersecurity platform that provides advanced protection against a wide range of cyber threats, including malware, ransomware, and sophisticated attacks. It leverages artificial intelligence (AI) and machine learning to detect and respond to threats in real time, offering endpoint protection, threat intelligence, and incident response capabilities. The platform uses a lightweight agent that continuously monitors endpoints for signs of malicious activity, providing visibility and protection without significant impact on system performance. Falcon’s cloud-based architecture ensures fast updates, scalability, and rapid threat response across large, distributed environments. Its comprehensive security features help organizations prevent, detect, and mitigate potential cyber risks, making it a powerful tool for modern enterprise cybersecurity.
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Amazon Rekognition
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.
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