Date: Nov 20, 2024 Time: 11am PT / 2pm ET Duration: 45 Minutes
In this webinar, we’ll explore the underground financial crime ecosystem, with a special focus on how Telegram is being used to sell and share fraud-as-a-service. We’ll start with an overview of the Telegram platform and the various types of illicit data, tools, and services that are available. Using check fraud as a primary example, we’ll illustrate how stolen checks are obtained, advertised, and sold. The session will also provide actionable strategies for incorporating dark web signals into your comprehensive fraud prevention efforts, with a case study showcasing the impact of these insights combined with a modern AI-powered fraud detection platform.
Key Topics Covered:
Thank you! A confirmation email with webinar link will be sent to you shortly.
This lively conversation will delve into the Underground Financial Crime Ecosystem, where we’ll explore how Telegram emerged as a hub for fraud-as-a-service. Join us as we expose the underground economy’s ecosystem and unveil how fraudsters operate in plain sight.
Mara Gibor drives intelligence operations at Q6 Cyber, where she leads expert teams uncovering dark web threats and combating e-crimes. With over eight years of specialized experience and a master’s in Counter Terrorism, Mara is a nationally recognized authority on check fraud, malware, and cybercrime defense, shaping the landscape of intelligence in the digital age.
Luke Lukashunas is a powerhouse in financial crime prevention and law enforcement, blending his role as Vice President of Financial Crimes, Intelligence & Security Services at TruMark Financial Credit Union with his hands-on experience as a Detective. With a track record of innovative strategies, cutting-edge technology integration, and high-stakes investigations, Luke brings unmatched expertise to combating modern financial threats.
Hao Li is the Vice President of Solutions Consulting and Customer Success at DataVisor. Hao has more than 10 years of experience in Big Data Analytics, Solution Architecting and Fraud Management. At DataVisor, Hao led the design, implementation and production support of 25+ enterprise fraud and risk mitigation projects in banking, fintech, e-commerce, travel, and gaming industries. Hao’s expertise in data orchestration, machine learning model utilization, strategy optimization, and review workflow automation has helped customers achieved significant reduction in fraud loss and improvement in risk mitigation efficiency. Hao holds Master degrees from MIT and Cornell University.
About DataVisor
DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases.