Reflectiz is a web exposure management platform that helps organizations identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. It provides full visibility and control over first, third, and fourth-party components like scripts, trackers, and open-source libraries that traditional security tools often miss.
Operating remotely without embedding code, Reflectiz ensures no impact on site performance, no access to sensitive user data, and no additional attack surface. The platform analyzes your digital supply chain, identifying risks in real-time and allowing for swift mitigation.
Reflectiz offers a centralized dashboard for monitoring all public web assets, empowering teams with governance, risk management, and continuous monitoring. It helps businesses reduce attack surfaces, enhance security, and maintain compliance with evolving standards—without requiring code modifications.
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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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Face SDK
Facial and body recognition library for server, mobile and embedded solutions requiring image and streaming video processing:
- Face Identification and Verification. Search for face matches, 1:N identification and 1:1 verification scenarios
- Real Time Video Processing. SDK components enable face detection, tracking and matching from video stream in real time
- Face Quality Control. Dozens of quality checks such as head rotation, blur, flare, face size, eyes and mouth openness, and more
- Face Landmarks. Detect size, pitch, roll, yaw, and up to 468 facial landmarks
- Gender, Age, Emotions Recognition. Detects 7 basic human emotions on photos or video stream
- Passive and Active Liveness. Comprehensive Liveness Detection algorithms against face or video spoofing
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