Intelligence augmentation refers to the practice of using technologies to help human employees do their jobs more effectively rather than using them to replace human workers. He pointed to the retail industry as a good example of one that is applying intelligence augmentation to its work. In addition to health care, Ghosemajumder touched on AI applications for the retail, entertainment, and marketing industries. This technology is especially useful in the health care industry, where it can be used to interact with patients and conduct research. Chatbots can quickly comb through large amounts of data to answer questions from customers and employees. Ghosemajumder is particularly excited about the experimentation that is happening around natural language and chatbots. “In order to be able to figure out how you derive value from some of those new technologies, you have to have exploration and experimentation,” said Ghosemajumder. At the same time, Ghosemajumder acknowledges that all AI projects can help us learn more about these technologies in general. This approach does little to benefit specific companies. He has found that many companies have begun experimenting with AI without identifying a specific business problem that they are trying to use the technology to solve. Ghosemajumder advises companies to be intentional about which AI projects they take on. The buzz around AI has led many companies to begin their own AI projects. Of course, AI technologies can also increase organizational efficiency outside of the cybersecurity space. AI technologies play an essential role in the delivery of cybersecurity, enabling companies and service organizations to execute cybersecurity measures with less staff. Instead of hiring people within their organizations to create cybersecurity, companies are now beginning to outsource this work to outside cybersecurity service organizations. This increasing demand for talent has led to a change in how cybersecurity is delivered. Implementing these more complex cybersecurity strategies requires people with specific skill sets. Instead of focusing on controls that allow only certain users to access their virtual infrastructures and data, companies are now focused on monitoring account users’ behavior to identify any anomalies that could indicate a cyberattack. These automation technologies have required companies to change their approach to cybersecurity. “And that leads us to today, where we see that generative AI and many different AI techniques enable automation at a scale that we've never really imagined before.” “One of the biggest things we learned a great deal about in that time period was how big of a threat automation can be,” Ghosemajumder remarked. Instead of hacking individual accounts, cybercriminals could now hack thousands of accounts at once through automation. At Shape Security, he found that cyberattacks were becoming more complex. When Ghosemajumder began his cybersecurity career at Google, he and his team used large-scale machine learning models to protect Google’s advertising systems. While speaking with moderator Jackie Selby, EMBA ’21, Ghosemajumder shared his big-picture insights into cybersecurity and AI. He began his cybersecurity career at Google, where he was the global head of product for trust and safety. Shape Security was acquired by F5, where Ghosemajumder then served as its global head of AI. Before that, he was the chief technology officer of Shape Security, which protected some of the world’s leading companies against sophisticated bots. He is the co-founder and CEO of Reken, an AI cybersecurity startup. Ghosemajumder has applied this philosophy to his successful career in AI cybersecurity, developing products that protect individuals and companies from cyberattacks. Shuman Ghosemajumder, MBA '02, Co-Founder and CEO, Reken
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