Abstract
Defenders are overwhelmed by attacks against their networks, which will only be exacerbated as attackers leverage artificial intelligence to automate workflows. We propose a path to autonomous cyberagents able to augment defenders by automating critical steps in the cyberdefense lifecycle.
| Original language | English |
|---|---|
| Pages (from-to) | 38-46 |
| Number of pages | 9 |
| Journal | IEEE Security and Privacy |
| Volume | 23 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2025 |
Funding
This article has been authored by UT-Battelle, LLC, under Contract DE-AC05-00OR22725 with the U.S. Department of Energy. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this article, or allow others to do so, for U.S. Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http:// energy.gov/downloads/doe-public-access-plan). This article was prepared as part of the Emerging and Cyber Security Technologies initiative at Oak Ridge National Laboratory.