Scenario 1: Fintive is a distinguished security provider for online payments and protection solutions. Founded in 1999 by Thomas Fin in San Jose, California, Fintive
offers services to companies that operate online and want to improve their information security, prevent fraud, and protect user information such as PII. Fintive centers
its decision-making and operating process based on previous cases. They gather customer data, classify them depending on the case, and analyze them. The company
needed a large number of employees to be able to conduct such complex analyses. After some years, however, the technology that assists in conducting such analyses
advanced as well. Now, Fintive is planning on using a modern tool, a chatbot, to achieve pattern analyses toward preventing fraud in real-time. This tool would also be
used to assist in improving customer service.
This initial idea was communicated to the software development team, who supported it and were assigned to work on this project. They began integrating the chatbot
on their existing system. In addition, the team set an objective regarding the chatbot which was to answer 85% of all chat queries.
After the successful integration of the chatbot, the company immediately released it to their customers for use. The chatbot, however, appeared to have some issues.
Due to insufficient testing and lack of samples provided to the chatbot during the training phase, in which it was supposed "to learn" the queries pattern, the chatbot
failed to address user queries and provide the right answers. Furthermore, the chatbot sent random files to users when it received invalid inputs such as odd patterns
of dots and special characters. Therefore, the chatbot was unable to properly answer customer queries and the traditional customer support was overwhelmed with
chat queries and thus was unable to help customers with their requests.
Consequently, Fintive established a software development policy. This policy specified that whether the software is developed in-house or outsourced, it will undergo a
black box testing prior to its implementation on operational systems.
According to scenario 1, the chatbot sent random files to users when it received invalid inputs. What impact might that lead to?
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