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BBL: Using Business Intelligence and Machine Learning in Financial Decision Making in the Cybersecurity Sector

Event Details


HCIL (2105 Hornbake, South Wing)


Cybersecurity is a complex and multifaceted challenge that is continuously growing in importance. It is a concern that not only affects banks and government agencies, as it constantly revealed through the media, but its implications expand beyond. It comes as no surprise that Wall Street would push efforts to cash in on the opportunity that is cybersecurity. In fact, cybercrime is fueling a worldwide cybersecurity market which is expected to grow from $75 billion presently to $170 billion by 2020. Hundreds of billions of dollars are being spent by consumers, businesses, governments, and the rest of the world to secure our ever-changing catalog of technology including, PCs, personal and corporate networks, the Internet of Things (IoT), and mobile devices. Despite a tumultuous stock market and poor venture capital returns, cybersecurity companies are raising large rounds of financing from investors. Due to the nascent nature of this field, the highly data-driven investment methodologies of old are not effective in guiding investment decisions. Investors complain that these methods are not agile and fall short when keeping up with current trends in the cybersecurity market. Our research utilizes principles of business intelligence and the latest research in hacker cognitive psychology to present a comprehensive, informative and easily digestible indicator for investors that is agile and self-optimizing. We present a model that considers blogosphere sentiment, relevant news, trend data, and real-time cyber-attack tools, techniques, and procedures to produce an investment indicator that will assist investors in their decision making.


Dr. Timothy Summers – Director of Innovation, Entrepreneurship, and Engagement
PhD, Weatherhead School of Management at Case Western Reserve University, selected Innovation and Design Fellow
M.S. in Information Security Policy and Management at Carnegie Mellon University
Field of Interest: Cybersecurity – Providing a better understanding of hackers and their influence on our largest, most complex socio technological issues

Sanjna Srivatsa – Graduate Student of the Information Management Program specializing in Business Intelligence and Machine Learning
Graduate assistant for the Virtual Computing Lab
Independent study with Dr. Summers
Recipient of the MIM Alumni award for Academic excellence 2016