Risk Evaluation · Technical report
Insights into AI Agent Security from a Large-Scale Red-Teaming Competition | NIST
NUWA research note · independent review pending
NUWA Research Note
Research questionDesign and assumptionsSource findingsNUWA interpretationLimits and contrary evidenceResearch and decision relevanceInstitutions and rolesOriginal resourcesModel-assisted reading · Selected sections of the original full text or official article; a complete section-by-section audit remains pending.
At a glance
NUWA interpretation: adaptive human red teaming exposes shared instruction-boundary failures.
Research question
What does a public adversarial competition reveal about agent hijacking?
Design and assumptions
CAISI and partners analyze competition attacks and post-competition transfer across models and scenarios, rather than only fixed automated templates.
Source findings
Some attack families transferred across models and scenarios.
Attacks successful against more robust models tended to transfer to weaker models more than the reverse.
NUWA interpretation
NUWA interpretation: adaptive human red teaming exposes shared instruction-boundary failures.
Limits and contrary evidence
The official blog is a research summary, not a complete competition protocol or a deployment-frequency estimate.
Research and decision relevance
Model recommendation: use the competition as complementary evidence and recover the paper’s sampling and transfer denominators before quantification.
Precise source locations
- Insights into AI Agent Security from a Large-Scale Red-Teaming Competition · BackgroundSelected original resource https://www.nist.gov/blogs/caisi-research-blog/insights-ai-agent-security-large-scale-red-teaming-competition; sha256:81546d5b664cf475535269d3dc95732d5ccaffa8730021a628898a74c8391abd; archived source capture; exact capture time not independently established
- Insights into AI Agent Security from a Large-Scale Red-Teaming Competition · Key FindingsSelected original resource https://www.nist.gov/blogs/caisi-research-blog/insights-ai-agent-security-large-scale-red-teaming-competition; sha256:81546d5b664cf475535269d3dc95732d5ccaffa8730021a628898a74c8391abd; archived source capture; exact capture time not independently established
- Insights into AI Agent Security from a Large-Scale Red-Teaming Competition · TakeawaysSelected original resource https://www.nist.gov/blogs/caisi-research-blog/insights-ai-agent-security-large-scale-red-teaming-competition; sha256:81546d5b664cf475535269d3dc95732d5ccaffa8730021a628898a74c8391abd; archived source capture; exact capture time not independently established
Source checking, extraction, editorial approval and replication are recorded separately. Methodology →
Institutions and roles
Cite and reuse
Cite the original publication for its findings. Cite this NUWA record separately for its explanation and retained snapshot.
Original publication · BibTeX
@misc{agent-security-red-teaming,
title = {Insights into AI Agent Security from a Large-Scale Red-Teaming Competition | NIST},
url = {https://www.nist.gov/blogs/caisi-research-blog/insights-ai-agent-security-large-scale-red-teaming-competition},
year = {2026},
date = {2026-03-23},
version = {Source capture 2026-10-25},
note = {Source capture 2026-10-25}
}
NUWA record · BibTeX
@misc{agent-security-red-teaming-nuwa,
title = {Insights into AI Agent Security from a Large-Scale Red-Teaming Competition | NIST — NUWA research record},
url = {https://whitzard.tech/en/nuwa/whitzard-index/work/agent-security-red-teaming/},
version = {2026-10-29.1},
organization = {NUWA Frontier AI Safety Lab},
howpublished = {Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--agent-security-red-teaming.json},
note = {NUWA research note. Source-reading scope and independent review status are stated on the record. Snapshot 2026-10-29.1. Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--agent-security-red-teaming.json.}
}
Evidence snapshot 2026-10-29.1 · Index updates · RSS
References
- [1] Insights into AI Agent Security from a Large-Scale Red-Teaming Competition. 2026-03-23 ; Official publication masthead and article byline; Background; Key Findings