Greenwood Village, Colorado – June 4th, 2015 – zvelo, the leading provider of contextual categorization and malicious detection services that are used to generate a wide range of data sets about websites, web content and more, has announced that Mark Ryan Talabis, Chief Security Scientist for the company, will be speaking at DEF CON 23. DEF CON is the world’s longest running and largest underground hacking conference.
Talabis’ presentation is entitled “The Bieber Project: Ad Tech 101, Fake Fans and Adventures in Buying Internet Traffic.” It is a notable presentation for the security conference as it demonstrates the convergence that is occurring between the security and ad tech worlds.
“In the past year, I found myself immersed in the multi-billion-dollar digital advertising industry,” says Talabis. “This gave me the opportunity to investigate the unique security challenges and issues facing the industry. I would like to provide the audience with my experience, including an introduction to the world of digital advertising for security professionals.” To read more about Talabis’ presentation, click here.
As the Chief Security Scientist for zvelo, Talabis conducts research on advertising fraud and non-human traffic. He is the former Director of the Cloud Business Unit of FireEye, an alumni member of the Honeynet Project and a member of the anti-malware working group of the Interactive Advertising Bureau (IAB) where he contributes to the promotion of threat intelligence sharing across the industry.
About zvelo, Inc.
For nearly a decade, zvelo has been the leading provider of contextual categorization and malicious detection for URLS for a wide range of data sets and attributes, including language, category value mapped to IAB taxonomy, malicious website detection, piracy, objectionable content and more. These data sets are accessible through simple, intuitive APIs for integration with applications in online advertising, brand safety, network security, big data analytics and other use cases where accuracy, coverage, performance, multi-lingual support and scalability are required. Using proprietary “hybrid” categorization and detection techniques that combine Artificial Intelligence, supervised Machine Learning and human quality assurance, zvelo categorizes over 99% of the active web in nearly 500 categories and dozens of languages. zvelo is headquartered in Denver with offices in the Philippines, New York, Michigan and Spain.