Although security is a very significant aspect of AI applications, there are a lot of security concerns associated with this development. For many jobs and businesses, it is highly required that systems have strong security properties in order for the jobs to function well (Stoica et al., 2017). The two mostly prevalent security issue categories include the decision process and learning the secret model (Stoica et al., 2017). An example of a security problem would be the breaching of webcams. Many stores have self-checkout systems in service for willing consumers, however, the self-checkout systems most of the time are installed with cameras. Although the chances are low since many companies should be able to install a secured network, hackers could still find a way into the camera system. In some other cases, consumers could also find a way to cheat the checkout system and end up not having to pay. Similarly, this issue is also occurring during online school. Most schools nowadays require a webcam-based format when students are taking their exams. It is understandable why a lot of institutions require this format, since it can catch a student violating honor codes or conducting inappropriate behavior during the test. However, many students have come out and said that they are actually uncomfortable with this altercation. Students feel this way because they are obligated to share and display their personal information to their cameras and sometimes give a 360 view of their surroundings. For instance, Jackson Hayes, a student of University of Arizona, was required to take a proctored exam on zoom (Chin, 2020). He was told to provide his ID, full name, email, and phone number when signing up on Examity, a website catered towards online proctored testing (Chin, 2020). When the time came to take his exam, Hayes was required to go on Zoom video conferencing website, which is also known to be infused with many security concerns (Chin, 2020). Unfortunately for Hayes, his computer got hacked by his online proctor (Chin, 2020). Likewise, online shopping sites such as Amazon can have a lot of security problems and data breaching because personal information and credit card information can be stored in there. Although hackers are growing more proficient, Anati, Gueron, Johnson, and Scarlata have conveyed that an ideal solution to this issue would be to utilize a “‘secure enclave’ abstraction—a secure execution environment—which protects the application running within the enclave from malicious code running outside the enclave” (Stoica et al., 2017, para. 39).