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paper llmsec-2026-00121
Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours
Raja Sekhar Rao Dheekonda, Will Pearce, Nick Landers
2026-05
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
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@article{llmsec202600121,
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},
url = {https://arxiv.org/abs/2605.04019},
} Metadata
- Added
- 2026-05-17
- Added by
- automation
- Source
- arxiv
- arxiv_id
- 2605.04019