Sumsub
Sumsub is a full-cycle verification platform that secures every step of the user journey. With Sumsub’s customizable KYC, KYB, AML, Transaction Monitoring and Fraud Prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business.
Sumsub achieves the highest conversion rates in the industry—91.64% in the US, 95.86% in the UK, and 97.89% in Hong Kong—while verifying users in less than 50 seconds on average.
Sumsub’s methodology follows FATF recommendations, the international standard for AML/CTF rules and local regulatory requirements (FINMA, FCA, CySEC, MAS, BaFin).
Sumsub has over 2,000 clients across the fintech, crypto, transportation, trading, e-commerce and gaming industries including Bitpanda, Wirex, Avis, Bybit, Huobi, Kaizen Gaming, and TransferGo.
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ESET PROTECT Advanced
ESET Protect Advanced is a comprehensive cybersecurity solution designed for businesses of all sizes. It offers advanced endpoint protection against ransomware, zero-day threats, and sophisticated attacks with ESET LiveSense technology. It includes full disk encryption for legal compliance and data protection. The solution features proactive cloud-based threat defense using adaptive scanning, machine learning, cloud sandboxing, and behavioral analysis to prevent new threats. Mobile threat defense secures Android and iOS devices with anti-malware, anti-theft, and mobile device management. It also provides cloud app protection, mail server security, and vulnerability and patch management. Extended detection and response (XDR) enhances threat detection and response, while multi-factor authentication adds security. The solution offers single-pane-of-glass remote management for visibility into threats and users, along with advanced reporting and custom notifications.
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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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