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As cyber threats grow in both frequency and sophistication, traditional cybersecurity measures struggle to keep pace with evolving attack methods. Artificial Intelligence (AI) has emerged as a powerful tool for enhancing threat detection, prevention, and response. AI-driven security systems offer the ability to analyze vast amounts of data in real-time, recognize subtle patterns indicative of cyber threats, and adapt to new attack strategies more efficiently than conventional approaches. However, despite AI’s potential, challenges remain regarding its effectiveness, ethical implications, and risks of adversarial manipulation. This research investigates the strengths and limitations of AI-driven cybersecurity by comparing AI-based security tools with traditional methods, identifying key advantages and vulnerabilities, and exploring ethical considerations. Additionally, a survey of cybersecurity professionals was conducted to assess expert opinions on AI’s role, effectiveness, and potential risks. By combining these insights with experimental testing and a comprehensive review of existing literature, this study provides a nuanced understanding of AI’s impact on cybersecurity and offers recommendations for optimizing its integration into modern security infrastructures. 

This report will discuss and explore the concept of reflexive control theory (RCT) in the context of day-to-day cybersecurity operations. Specifically, this study aims to investigate and emphasize the influential role of this trend in cyberspace while simultaneously examining the manipulative tactics employed by adversaries and RCT’s effect on the public. This report will further explain the concept of RCT and aims to promote awareness to educate the public about this topic. In the realm of cybersecurity, reflexive control serves as a potent weapon, used to allow adversaries to be able to exploit vulnerabilities, influence decision-making and essentially predict their target’s actions. This research will focus on three key concepts within reflexive control theory: Behavioral Analysis, Threat Detection and Perception Management. Furthermore, this report examines the ethical dimensions and potential risks associated with the reflexive control theory technique. These findings are intended to raise awareness and propose strategies to enhance resilience against these manipulative tactics. By meticulously synthesizing existing literature, research studies, and user surveys, this report provides a comprehensive analysis of the reflexive control theory in cyber operations. 

This report will discuss and analyze the risks and different challenges which are accompanied when completing remote work and learning. Specifically, this paper will focus on this trends’ effect, during the 2019 Coronavirus pandemic (COVID-19). The different applications that will be included in this research are Slack, Zoom, Skype, Microsoft Teams, Google Meets, Trello, Webex, and Troop Messenger. In recent months, there has been a complete increase in the amount of people worldwide that use these platforms. However, the majority of users do not fully understand security and privacy when using these different platforms. Due to this lack of knowledge, this comes with an increase in attacks. This study will further discuss the different pros and cons of each of the different platforms (mentioned above); the applications that have been breached, how often they were breached, different flaws, vulnerabilities of each system and more. This study coherently uses and assesses its credibility with the assistance of research, a user survey, and past research studies on this topic.