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Yuan(Alice) Huang is a seasoned Senior Fraud Analyst with specialized expertise in combating sophisticated cyber threats. Yuan has a proven track record in analyzing and mitigating complex fraud schemes, including deepfake-enabled ID theft, KYC bypasses, Android Banking Trojans, money mule networks, and QR code scams.
With a commitment to innovation, Yuan combines advanced data analytics with in-depth fraud investigation techniques to stay ahead of emerging threats. Her work involves designing proactive detection rules, crafting real-time fraud monitoring algorithms, and delivering actionable insights that empower organizations to strengthen their security frameworks.
At Group-IB, Yuan has contributed significantly to fraud prevention through data-driven strategies and client-centric solutions. Her efforts in monitoring fraud trends, identifying vulnerabilities, and designing targeted anti-fraud measures have enhanced the effectiveness of the company’s Fraud Protection system and fortified client defenses against cybercrime.
Passionate about knowledge sharing, Yuan also conducts training sessions to educate businesses and professionals on fraud detection and prevention. Her ability to translate complex cybersecurity concepts into practical solutions makes her an invaluable resource for organizations navigating today’s rapidly evolving threat landscape.
