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paperMay 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

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Framework mappings

MITRE ATLAS
  • AML.T0043Craft Adversarial Data

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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}
}