FM - Digital Transformation

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Browsing FM - Digital Transformation by Subject "Cybersecurity"

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    AI & Cybersecurity – connection, impacts, way ahead
    (Pro Universitaria Publishing House, 2024-07-16) Sarcea (Manea), Oana Alexandra
    Artificial intelligence (AI) and cybersecurity have a strong connection and impact each other in different ways. An overview is related to the following categories: detection and prevention, automated response, adversarial AI, data protection, risk assessment, privacy concerns. Looking ahead, the linkage between AI and cybersecurity will continue to evolve. Key areas of focus include: development of AI-driven security solutions, ethical AI-use, enhanced threat intelligence, human-machine collaboration. Overall, AI holds tremendous potential to revolutionize cybersecurity, but it also presents new challenges that must be addressed to ensure a secure and resilient digital environment. The relationship between AI and cybersecurity is multifaceted. AI technologies are increasingly being employed both to enhance cybersecurity defenses and to facilitate cyberattacks. In addition to the above key points, is to mention the cybersecurity skills gap: with the growing complexity of cyber threats, there is a shortage of skilled cybersecurity professionals. AI technologies can help bridge this gap by automating routine tasks and augmenting the capabilities of existing security teams. Behavioral analysis is another important element: AI-powered systems can analyze user and network behavior to identify anomalies that may indicate a security breach. By understanding typical behavior, AI can detect deviations that might signal an attack. Overall, the relationship between AI and cybersecurity is complex and evolving. While AI offers significant opportunities to enhance cybersecurity defenses, it also presents new challenges and risks that must be addressed. Ongoing research and development are essential to stay ahead of emerging threats in this rapidly evolving landscape.
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    Cybersecurity challenges in the knowledge economy
    (Sciendo, 2022-08-08) Ursache, Vlad-Mihai
    The paper aims to study cybersecurity correlations with the knowledge economy, focusing on its challenges in this new age of economy. The relevance of the cybersecurity concept is sustained by the academic literature that shows its important role in the business environment, where disruptive changes will become the norm. In the digital age, the disruptions are happening frequently, which gives organisations less time to manage the change and the fact that they are almost constrained to develop new strategies to answer the challenges of the changing business environment. The knowledge economy has evolved, and with that, new concepts began to appear out of necessity and the need to secure the dynamic environment of knowledge management systems. Considering the unprecedented access to information and advancements in conducting academic research, in the present landscape of the knowledge economy and cybersecurity domain, new methods are available to structure and examine a body of literature. The text mining and scientific mapping analysis conducted with VOSviewer software version 1.6.18 is allowing us to identify meaningful insights about the knowledge economy concept, such as the (1) existing research gaps, at least on cybersecurity challenges in the knowledge economy, and the (2) the research interests seen for the time period between 2019 and 2021. To achieve this, a database derived from the Web of Science's Core Collection has been used, and the text mining based on term co-occurrence analysis contributed to a deeper understanding of current and future workspace dynamics.