ChronosAttack: Adversarial Tool Scheduling Attacks on LLM Agents
Factual evidence
What the source reports
Research demonstrates ChronosAttack, an adversarial technique manipulating LLM agent decisions using tool response timing delays.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 24 September 2026
- Collected by OneBench
- 25 Sept 2026, 03:01 UK
- Original headline
- ChronosAttack: Adversarial Tool Scheduling Attacks on LLM Agents ↗
Stored source excerpt
arXiv:2609.27857v1 Announce Type: cross Abstract: Large language model (LLM) agents often process external tool responses as they arrive, making response timing part of the decision…
Short excerpt from the collected text, not the full source. Use the source link to read it in context.
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
Asynchronous tool response timing creates a novel attack vector for autonomous agents operating on real-time financial market feeds.
Do what
Review tool-orchestration timing and data-ingestion sequence assumptions with the team responsible for building autonomous agentic workflows.