Benjamin Larson

Benjamin Larson appears in EP 5: Implementation of Data Science in Cybersecurity as the Data Science With Sam guest explaining how data science is applied inside consumer-side cybersecurity work at Verizon. The source identifies him as a data science manager in Verizon’s CISO-side consumer organization and says his background includes risk management, healthcare, finance, financial planning, data analysis, data science, and a PhD in decision science.

His role in the wiki is to ground cybersecurity AI in practitioner workflow. Ben emphasizes known bad-actor data, simulation modeling, NLP over call transcripts, clustering, simple classifiers, and authentication-risk detection, while also stressing that defenders operate against adaptive human adversaries rather than static datasets.

Ben’s organizational advice is as important as his technical advice. He says data scientists entering cybersecurity need to earn trust with security specialists, explain findings without dismissing domain expertise, and respect strict data-access controls. The source therefore attaches him to Cybersecurity Data Science, Security Data Access Constraint, and Domain Expert Alignment rather than only to model-building technique.

Connections

• Data Science With Sam and Sam (Data Science With Sam) - show and interviewer context.
• Verizon - company context in the source.
• Cybersecurity Data Science, Cybersecurity Simulation Modeling, Social Engineering NLP, and Authentication Risk Modeling - technical themes he explains.
• Social Engineering Fraud, AI Impersonation Fraud Risk, and Brand Impersonation Monitoring - threat patterns he discusses.
• Personal Security Tiering - practical two-factor-authentication and password advice in the closing section.