Prompted to Discriminate: Generalizing Malicious-Input Probes in the Wild
Factual evidence
What the source reports
arXiv research examines vulnerability in activation probes used as runtime monitors to detect LLM prompt injections and jailbreaks.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 5 October 2026
- Collected by OneBench
- 6 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2610.02413v1 Announce Type: new Abstract: LLM agents increasingly rely on activation probes as runtime monitors for prompt injection, jailbreaks, and unsafe requests, reading the model's…
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The factual summary is a OneBench synthesis, not a quotation or independent verification. Collection time is not publication time. Open the source for its full context; related reporting can share the same underlying announcement.
OneBench interpretation
Institutional assessment
So what
Runtime activation probes used to secure agentic workflows may contain vulnerabilities when triggered by post-prompt classification instructions.
Do what
Review runtime safety mechanisms with the team responsible for model security before deploying LLM agent architectures.