May 2026Unreviewed
Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours
Raja Sekhar Rao Dheekonda, Will Pearce, Nick Landers
Abstract
AI systems are entering critical domains like healthcare, finance, and defense, yet remain vulnerable to adversarial attacks. While AI red teaming is a primary defense, current approaches force operators into manual, library-specific workflows. Operators spend weeks hand-crafting workflows - assembling attacks, transforms, and scorers. When results fall short, workflows must be rebuilt. As a result, operators spend more time constructing workflows than probing targets for security and safety vul
Categories
Framework mappings
MITRE ATLAS
- AML.T0043Craft Adversarial Data
NIST AI Risk Management Framework
- MEASUREMeasure
Suggested from the entry's categories.
Cite
@misc{dheekonda2026redefining,
title = {{Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours}},
author = {Raja Sekhar Rao Dheekonda and Will Pearce and Nick Landers},
year = {2026},
month = may,
eprint = {2605.04019},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2605.04019}
}