Anthony R.
Geopolitical Risk | Threat Modeling | Program Protection | Emerging Technology
- Role
- Amazon Leo for Government (Alg) - Program Threat Intelligence Analyst at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Anthony R.
I specialize in strategic threat intelligence and geopolitical risk for defense-tech and critical technology environments. My work focuses on translating ambiguous external threat indicators, insider-risk signals, and operational vulnerabilities into decision-enabling assessments providing calibrated security recommendations.At Amazon Leo for Government, I built the program’s threat-analysis capability and designed a mixed-method parametric network risk model using Monte Carlo simulation to test exposure, degradation pathways, and mitigation effectiveness under external pressure. My work integrates geopolitical context, threat actor behavior, insider-risk indicators, and program dependencies into a unified decision framework for leadership.Previously, I led security strategy across sensitive technology and regulated environments, including program security, supply chain security, access-control modernization, and control implementation aligned to NIST, CMMC, EAR, ITAR, NISPOM, SEAD, and ISL requirements. Earlier in my career, I worked as a Geopolitical Risk Analyst focused on Sino-U.S. competition, defense technology, and open-source intelligence.I hold an MA in International Security from the University of Denver’s Josef Korbel School, where my research focused on civil-military fusion, computational propaganda, and industrial espionage. I have published and worked at the intersection of geopolitics, strategic intelligence, and enterprise security. I also am a U.S. Coast Guard veteran who trained LE teams and led AT/FP operations for critical infrastructure.
Experience
Amazon Leo for Government (Alg) - Program Threat Intelligence Analyst
Feb 2026 — Present
Built the program’s protective counterintelligence analysis capability to assess how external pressure, insider activity, and operational dependencies could degrade mission-critical security outcomes-Designed a mixed-method, threat-centric network risk model using Monte Carlo simulation to quantify exposure, map degradation pathways, and prioritize mitigations by mission impact-Integrated geopolitical context, threat actor behavior, insider-risk indicators, public media feeds, and program dependencies into a unified assessment workflow used to support security decision-making and mitigation prioritization.
Education
University of Denver - Josef Korbel School of Global and Public Affairs
Master of Arts - MA, International Security
2016 — 2018
Gonzaga University
International Relations, Asian Studies
2014 — 2016
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