Artificial Intelligence in Cybersecurity: A Dual-Nature Technology
Abdulrahman Yarali, Evan Rodocker, Christie Gora · 2023
Artificial Intelligence (AI) is undoubtedly one of the most promising information age developments. AI has emerged as a transformative technology, reshaping various sectors, including cybersecurity. As digital threats evolve in complexity and scale with a higher potential for vulnerabilities, traditional cybersecurity measures often need help to keep pace. With its ability to learn and adapt, AI offers promising solutions to these challenges. Traditional cybersecurity measures, which often rely on predefined rules and signatures, must be equipped to manage novel threats. AI presents a promising alternative with its ability to learn from data and adapt to the latest information. However, integrating AI into cybersecurity has its challenges when cyber adversaries use it as an AI-powered Cyber-attack tool to their advantage in a threat landscape that is constantly evolving. This paper discusses the future trends in self-learning AI technology to combat novel threats and new attack techniques. The paper reviews how cybersecurity frameworks can mitigate the exploitation of AI systems, making them safe and reliable by taking precautions and suitability-testing steps before implementation. We will draw on various sources, providing a balanced and in-depth perspective on the rise of AI as a dual-nature technology and its applications and challenges in the ever-expanding attack surface in cyberspace. The goal is not only to inform but also to provoke thought and discussion on the implications of AI for the future of cybersecurity.