Understanding the Limits of Artificial Intelligence for Warfighters: Distributional Shift in Cybersecurity Datasets

By Joshua Steier, Erik Van Hegewald, Anthony Jacques

The Department of the Air Force has become increasingly interested in the potential for artificial intelligence (AI) to revolutionize different aspects of warfighting. But in the context of cybersecurity, distributional shift--the divergence of current data from the data on which an AI system was trained--can significantly reduce the longevity of AI applications. This could be especially dangerous as the threat of cyberattacks continues to grow.

• Format: Paperback
• Language: English
• ISBN: 1977412793
• ISBN13: 9781977412799
• Release Date: January 2024
• Publisher: RAND Corporation
• Length: 35 Pages