AI & Cybersecurity – connection, impacts, way ahead

Abstract

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.