Verizon

Verizon appears in EP 5: Implementation of Data Science in Cybersecurity as the company context for Benjamin Larson’s consumer-side cybersecurity data-science work. The source keeps the claims source-scoped: Ben says his team works under the CISO area in Verizon’s consumer group, focused on threats affecting phone, Fios, and customer-account access.

The source makes Verizon a case for applied Cybersecurity Data Science. Customer authentication, call-center social engineering, account takeover, fake domains, credential-collection sites, and network-level scam filtering are treated as operational security problems where data science can produce warnings, prioritization, and detection signals.

Verizon also illustrates Security Data Access Constraint. Because the underlying data can involve sensitive customer, business, and government-related obligations, Ben says access may require high-level approval and explicit use cases before analysis begins.

Connections

• Benjamin Larson - source speaker working in Verizon’s consumer cybersecurity organization.
• Data Science With Sam and Sam (Data Science With Sam) - show and interview context.
• Cybersecurity Data Science, Authentication Risk Modeling, Social Engineering NLP, and Cybersecurity Simulation Modeling - applied data-science workflows attached to the source.
• Brand Impersonation Monitoring, Social Engineering Fraud, and AI Impersonation Fraud Risk - fraud and impersonation patterns discussed through Verizon examples.
• Security Data Access Constraint - organizational boundary around sensitive cybersecurity data.