Independent review and use will determine whether the released dataset of 1,000 classified AI-agent security incidents is accurate and useful for evaluating recurring agent failure modes.
state: expiredheat: lowuncertainty: highknownscott: mediumagentic-security security-incidents agent-evaluationgemmozero
What is this?
The case describes a dataset attributed to gemmozero that claims to classify 1,000 AI-agent security incidents for studying recurring failure modes. The supplied web results establish broader interest in agent incidents—including excessive permissions, data exposure, unintended actions, runaway costs, and monitoring failures—and show that other repositories use independent human reviewers to test classification reliability. However, none of the snippets directly documents this specific dataset, its provenance, classification method, incident authenticity, or independent review, so its accuracy and usefulness remain unestablished.
Why it matters to Scott
The Security Reviewer Method ebook and Mechanically Different Verifiers already hold the case’s central position: classifications remain conditional until independently checkable, using reviewers or checks with genuinely different failure modes. A validated 1,000-incident corpus could materially extend Scott’s evaluation and failure-taxonomy work, but the supplied evidence does not yet establish the dataset’s provenance, labels, or utility.
ip:source.security-reviewer-method-ebookip:concept.mechanically-different-verifiersip:concept.evaluation-driven-developmentradar:concept.agentic-securityradar:concept.agent-evaluationradar:concept.security-benchmarksradar:agentgauntlet-failure-benchmark
queries asked of Scott's wikis
- agent incident taxonomy and failure-mode classification
- evaluation datasets for coding-agent security failures
- runtime controls, permissions, and oversight for autonomous agents
- agent audit logs and incident observability
- human validation of LLM-classified security datasets
- benchmark design for recurring agent failure modes
Measured heat
no measured readings yet — the hourly heat pass fills this in
How the heat travelled
no chain yet — the hourly chain pass fills this in
Evidence (1) — ⭐ canonical anchor
Interpretation history
2026-08-28T11:24:28Z
The listing has produced no documentation, discussion, independent review, or observable use after the monitoring horizon; the artifact remains unvalidated but no longer warrants an active case.
2026-08-26T10:36:43Z
No new evidence establishes the dataset’s provenance, labeling quality, accessibility, or independent use; the case remains an unvalidated artifact awaiting substantive review.
2026-08-26T10:32:42Z
grounded: known/medium — The Security Reviewer Method ebook and Mechanically Different Verifiers already hold the case’s central position: classifications remain conditional until indep
2026-08-26T10:30:49Z
case created — The directly usable dataset is a distinct empirical artifact whose quality and value for agent-security evaluation remain open.
Decision trace
- 08-28 21:24expireThe listing has produced no documentation, discussion, independent review, or observable use after the monitoring horizon; the artifact remains unvalidated but no longer warrants an active case.
- 08-28 21:24alert_silentThe only change is negligible engagement without substantive evidence, so there is no consequential new delta to surface and no confirming fact expected imminently.
- 08-28 21:24alert_routeThe only change is negligible engagement without substantive evidence, so there is no consequential new delta to surface and no confirming fact expected imminently.
- 08-26 20:36repriceNo new evidence establishes the dataset’s provenance, labeling quality, accessibility, or independent use; the case remains an unvalidated artifact awaiting substantive review.
- 08-26 20:36alert_silentThe reobservation is unchanged and adds no consequential delta beyond the original low-evidence listing, so normal review is sufficient.
- 08-26 20:36alert_routeThe reobservation is unchanged and adds no consequential delta beyond the original low-evidence listing, so normal review is sufficient.
- 08-26 20:33alert_silentA linked dataset claiming 1,000 classified AI-agent security incidents is potentially useful, but the visible evidence establishes only a low-engagement listing, not its provenance, contents, labeling
- 08-26 20:33surface_candidateA linked dataset claiming 1,000 classified AI-agent security incidents is potentially useful, but the visible evidence establishes only a low-engagement listing, not its provenance, contents, labeling
- 08-26 20:33alert_routeA linked dataset claiming 1,000 classified AI-agent security incidents is potentially useful, but the visible evidence establishes only a low-engagement listing, not its provenance, contents, labeling
- 08-26 20:32groundThe Security Reviewer Method ebook and Mechanically Different Verifiers already hold the case’s central position: classifications remain conditional until independently checkable, using reviewers or c
- 08-26 20:30createThe directly usable dataset is a distinct empirical artifact whose quality and value for agent-security evaluation remain open.