Implications of Artificial Intelligence for Cybersecurity

This book explores the intersection of AI and cybersecurity, addressing both opportunities and risks associated with emerging technologies in the field.

In recent years, there has been a significant surge in interest and advancements in artificial intelligence (AI) and machine learning (ML). These technologies are being actively pursued across various sectors, leading to innovative applications that promise to transform industries. However, this rapid evolution comes with its own set of challenges, particularly regarding cybersecurity. The increasing frequency and severity of cyberattacks have highlighted vulnerabilities in our cyber systems, prompting a critical examination of how AI and ML can both enhance and threaten security measures.

The National Academies of Sciences, Engineering, and Medicine recognized the pressing need to address these issues and convened a workshop on March 12-13, 2019. This gathering brought together policymakers, security practitioners, technologists, researchers, and the public to discuss the implications of AI and ML in the realm of cybersecurity. Participants engaged in deep discussions about the current landscape, exploring how these technologies can be leveraged for cyber defense while also acknowledging the potential risks they pose.

Implications of Artificial Intelligence for Cybersecurity serves as a comprehensive summary of the workshop's presentations and discussions. It delves into various aspects of AI's role in cybersecurity, including the tools currently deployed for cyber defense operations, the emergence of adversarial AI, and the security risks associated with AI-enabled systems. This publication is essential for anyone interested in understanding the intersection of AI and cybersecurity, as it identifies key implications and raises important questions for future exploration.