Abhishek Satyam
Graduate Research Assistant @Fordham University Graduate School Of Arts And Sciences
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WORK HISTORY
Graduate Research Assistant @Fordham University Graduate School Of Arts And Sciences
NY, US
Modeled attacker–defender interactions in online fraud using game theory and Bayesian inference, enabling quantification of how adversaries adapt across multi-stage conversations and informing optimal defense strategies.Developed a scambaiting simulation framework using 2,600+ real-world scammer interactions, identifying conditions under which fraud becomes economically unviable and guiding deployment of effective countermeasures.Conducted sensitivity analysis across detection rates, attacker costs, and payoff structures, quantifying which interventions yield the highest reduction in organizational risk exposure.Co-authored research on AI security, including a defense against data poisoning in large language models BigData 2025) and ongoing work on LLM-guided autonomous cyber defense (under review at GLOBECOM 2026), contributing to advancing practical defenses for real-world AI systems.
EDUCATION
Fordham University Graduate School of Arts and Sciences
Master of Science - MS, Cybersecurity
Indian Institute Of Information Technology Allahabad
Bachelor of Technology, Information Technology
ABOUT ABHISHEK SATYAM
Graduate Research Assistant at Fordham University, working at the intersection of AI security, adversarial systems, and software engineering. My work focuses on modeling attacker behavior using game theory and building systems that remain reliable under adversarial conditions. Previously worked as a Software Engineer at Wipro and Eigenlytics Data Solutions, where I built and scaled backend systems and AI-driven platforms across finance, healthcare, and enterprise domains. Currently pursuing a Master’s in Cybersecurity, with interests in AI security, cloud security, and designing secure systems for real-world deployments. AWS Certified Solutions Architect and CompTIA Security+ certified.
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