الملخص
The transition from Large Language Models (LLMs) to agents shifts safety stakes from toxic text to irreversible environmental harm. While current defenses remain largely retrospective, proactive runtime intervention is bottlenecked by the lack of large-scale, causally-consistent data. We propose PROACT-Agent, a framework for synthesizing high-fidelity trajectories to enable real-time guardrails. We identify a critical "safety drift" in prior benchmarks, where lenient annotation paradigms fail to enforce temporal consistency. PROACT-Agent addresses this through: (1) Progressive Trajectory Unrolling to reveal risks hidden in long-context interactions; (2) Reasoning-Augmented Causal Rectification to enforce monotonic causal consistency; and (3) Culturally-Aware Data Localization for cross-border robustness. We introduce PROACT-Bench, a bilingual safety benchmark with 155,780 states labeled through multi-model adjudication. Evaluating updated context before the next LLM inference, the trained guard achieves 91.46% unsafe-class F1 and 90.63% exact-boundary detection under complete source holdout. In AgentDojo, it reduces non-DoS targeted attack success from 20.82% to 0.40%.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Jia, D., Liu, W., Du, X., Li, Y., Yang, Y., Yu, H., Zhan, Z., & Zhou, C. (2026). PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety. https://omanscience.com/ar/articles/proact-agent-progressive-runtime-oversight-and-active-circuit-breaking-for-real-time-safety
MLA 9
Jia, Ding, et al. "PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety." https://omanscience.com/ar/articles/proact-agent-progressive-runtime-oversight-and-active-circuit-breaking-for-real-time-safety.
شيكاغو (المؤلف–التاريخ)
Jia, Ding, Wei Liu, Xianglong Du, Yingjie Li, Yingqing Yang, Huili Yu, Zhangsong Zhan, and Chu Zhou. 2026. "PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety." https://omanscience.com/ar/articles/proact-agent-progressive-runtime-oversight-and-active-circuit-breaking-for-real-time-safety.
هارفارد
Jia, D., Liu, W., Du, X., Li, Y., Yang, Y., Yu, H., Zhan, Z. and Zhou, C. (2026) 'PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety', Available at: https://omanscience.com/ar/articles/proact-agent-progressive-runtime-oversight-and-active-circuit-breaking-for-real-time-safety.
فانكوفر
Jia D, Liu W, Du X, Li Y, Yang Y, Yu H, et al. PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety. https://omanscience.com/ar/articles/proact-agent-progressive-runtime-oversight-and-active-circuit-breaking-for-real-time-safety
IEEE
D. Jia, W. Liu, X. Du, Y. Li, Y. Yang, H. Yu, Z. Zhan, and C. Zhou, "PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety," https://omanscience.com/ar/articles/proact-agent-progressive-runtime-oversight-and-active-circuit-breaking-for-real-time-safety.