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Building an Intelligent, Data-Based Fraud Protection Ecosystem in an Evolving Mobile Landscape

April 27 @ 16:00 - 17:00 BST

Newton’s Third Law tells us that with every action comes an equal and opposite reaction. This is exactly the predicament that the mobile communications landscape finds itself in as it innovates: As next-generation capabilities are cultivated, the landscape of fraud and malicious activity grows in scope and sophistication.

Today’s carriers, MNOs, CSPs and more need to be able to safeguard users’ communications from bad actors and the phishing scams, robocalls and identity fraud attempts they bring — but as communications grow more complex, so does solving for this requirement. What’s needed in this new era of security are intelligent, data-driven solutions that help vet, verify and manage all the information associated with each mobile device. This phone number intelligence data is the key to ensuring end-to-end protection across all endeavors, including end-user onboarding, the development of trusted customer engagement strategies, analysis and insights building and more.

In this webinar, attendees will listen in as trusted industry leaders and fraud prevention specialists netnumber Global Data Services and Sekura Mobile dive deep into the landscape of fraud, the challenges it poses and what solutions help best protect providers and users. Attendees can expect to come away with crucial knowledge about why and how to harness phone number intelligence data, as well as insights into the most prominent use cases for creating reliable, secure and trusted processes that streamline innovation and protect their mobile ecosystem.

Speakers

Dario Betti
CEO
MEF

Brad Greer
Sr. Director, Data Solutions & Partnerships
netnumber Global Data Services

Keiron Dalton
Chief Product Officer
Sekura Mobile

Details

Date:
April 27
Time:
16:00 - 17:00 BST
Event Categories:
,

Venue

Online
MEF HQ
London, United Kingdom

Organiser

Mobile Ecosystem Forum (MEF)
Phone:
+44 (0)20 8819 0554
View Organiser Website
MEF