RESEARCHMonitorWATCHLIST
PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced PROACT-Agent, a framework synthesizing synthetic trajectory data to train real-time guardrails for AI agents.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 23 October 2026
- Collected by OneBench
- 24 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2609.34415v2 Announce Type: replace Abstract: The transition from Large Language Models (LLMs) to agents shifts safety stakes from toxic text to irreversible environmental harm. While…
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