CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It? Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics
Research Presentation at the 19th New York State Cyber Security Conference Presentation, Albany, NY, June 8-9, 2016, Empire State Plaza, Albany, NY.
78 Pages Posted: 10 Jun 2016 Last revised: 13 Aug 2017
Date Written: June 8, 2016
This presentation advances upon recent world leading Cybersecurity-CyberFinance Computational Risk Analytics Research selected for 30 SSRN Top-10 Research Ranking Awards and invited for presentation at the 2015 Princeton Quantitative Trading Conference. The primary focus of the presentation is on helping advance insights of auditors, business managers, critical infrastructure owners, educators, executives, information security professionals, forensic specialists, IT professionals, law enforcement, process improvement managers, and project managers about the emerging contours of Cyber Risk which is increasingly intertwined with Financial Risk. Using the metaphor of the iceberg with 90% of emerging cyber financial threats invisible to human eye, it sheds light on emerging Cyber risks that threaten the Financial survival of national and regional economies, global and local business enterprises, information infrastructure entities as well as individuals. Backed by research ranked for worldwide impact among Finance and IT Nobel laureates, this presentation will help you see Cyber risk and its implication for Finance at various levels like you have never seen before. It advances upon industry-leading research that recently developed robust foundation of global Cyber Risk Insurance standards with oversight of Cybersecurity experts affiliated with U.S. Air Force Research Lab and New York State Cyber Research Institute. The presentation builds upon global leadership of professional hi-tech practices in global Banking and Finance industry over the recent 25 years with most recent risk analytics leadership for top Wall Street investment banks such as JP Morgan, FinTech risk analytics ventures with CxO clients and patrons such as Goldman Sachs, and, prior global leaderships for Big Banks such as Bank of America and Big-3 IT firms leading global financial systems development for worldwide Banking & Finance firms.
Keywords: Value at Risk, VaR, Expected Tail Loss, Coherent Risk Measure, Extreme Value Methods, Catastrophic Risk Models, Anticipatory Risk Analytics, Predictive Risk Analytics, Cyber Risk Insurance Analytics, Cyber Risk Insurance Modeling, Risk and Uncertainty Management, Digital Transformation, Measurement
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