Scott Roberts

Field: Data Analytics
Areas of Focus: Artificial Intelligence, Cyber Security, National Security, Wireless Security

Expertise

• Cyber Threats
• Cyber Threat Intelligence
• Computer Security Incidents
• Cyber Threat Landscape
• Network Defense
• Crisis Management
• Machine Learning Security
• Artifical Intelligence Security

Bio

Scott J. Roberts is a leading figure in cyber threat intelligence and threat hunting, currently helming threat research at Interpres Security. Renowned for blending machine learning with traditional intelligence frameworks, Scott has developed strategies and built teams for tracking and disrupting nation state and criminal adversaries. His distinguished career includes impactful stints at major corporations like Apple, GitHub, and Splunk, where he led advanced security operations and threat intelligence efforts.

Scott has authored several editions of O'Reilly's "Intelligence-Driven Incident Response" and is a prominent voice in the cybersecurity community, contributing to top industry publications and speaking at major conferences. As an adjunct instructor at Utah State University and a mentor with SANS, he is deeply committed to shaping the future of cybersecurity education and practice.

Journalists seeking an expert with deep insights into cybersecurity trends, threat response strategies, and the evolving landscape of digital threats will find in Scott a knowledgeable and articulate source.