About the free webinar

Reduce costly step-up authenticators by tapping into global communications and network level data at onboarding. Today, almost all fake accounts are created with a compromised or suspicious phone number. Learn how to leverage phone Intelligence to detect bad numbers from the start and reduce lengthy step-up workflows for good consumers.

If you onboard consumers globally or allow international numbers on your platform, you won’t want to miss this discussion!

Here's what you'll learn:

Learn the difference between static phone information, behavioral network insights and network-based authentication.

Learn how to take action off of these attributes to prevent fake account creation.

What Static/MNO insights are available: ex. Phone types; subscriber information and how to use to combat fraudulent applications.

The top onboarding challenges faced by product leaders today.

What is behavioral network level data and how to use to combat fraudulent applications.

What is network based auth and how are consumers using this today.

What benefits can you expect by leveraging these insights.

How do most businesses consume this data. Directly or via orchestrators.

Your presenters:

Michael Lappin

Head of Go to Market Enterprise

Telesign

Michael has been the security/cyber security and incident response/forensic investigation and security software space for more than 20 years. He has been certified in endpoint security technologies, messaging security as well as eDiscovery, Governance, Risk and Compliance. Michael has worked on the cutting edge of AI/machine learning as well as orchestrated automation since 2015. He is a specialist in the psychology of presales and pursues technical closure every day.

Angela Diaz

Senior Principal, Operational Risk Management Officer

Discover

With over 12 years of experience in financial crimes risk management, regulatory issues, and control monitoring—particularly in overall risk program management—Angela helps operations leaders understand the importance of foundational fraud risk controls combined with the need for ongoing innovation and the introduction of modern fraud prevention and detection strategies. A multi-layered approach, leveraging real-time data analysis, AI and machine learning, and advanced technologies to detect, prevent and mitigate fraud effectively.

PJ Rohall

Co-Founder &
Fraud Fighter

About Fraud

PJ has been fighting fraud for 15 years. He has strong understanding of mitigating bad actor use cases across the full customer journey. He leverages this skill set to educate and empower fraud fighters across the globe. He co-founded About Fraud, a global community built For Fraud Fighters, By Fraud Fighters. PJ exudes passion and vibrancy that engages others, while offering a refreshing dose of emotional intelligence. He is also a passionate mental health advocate, striving to break the stigma with personal stories of his journey with anxiety & OCD.