An Investigation of Artificial Intelligence (AI) and Cybersecurity: Case of AI Integration in German Cybersecurity Strategy

The escalating dependence on virtual infrastructure necessitates the implementation of resilient cybersecurity protocols to protect towards forever-developing cyber threats. While synthetic intelligence (AI) has a vast ability to enhance cybersecurity skills, its integration also entails full-size dangers and problems. By using a thematic evaluation of educational literature published from 2020 to 2024, this study examines the complex correlation that exists between cybersecurity and artificial intelligence (AI) in Germany. The study recognized vital issues concerning the implementation of AI in German cybersecurity. Possible advantages of AI consist of chance detection, multiplied reaction times, and the capacity to investigate huge portions of information to identify protection vulnerabilities. The “black container” nature of positive AI decision-making systems, and the opportunity for employment displacement within the cybersecurity industry are among the dangers stated in the research concerning AI. The criticality of striking an equilibrium between protection concerns and personal privacy worries is emphasized. Additionally, the importance of Explainable AI (XAI) methodologies is emphasized, as they can foster confidence in AI systems and growth transparency in cybersecurity risk assessment decision-making.