SOURCE-LINKED INTELLIGENCE
Safe to Resume? Breaking Execution Continuity of Agent Execution via Rollback
AI agents are moving toward persistent, stateful execution across various applications, accumulating execution state and external effects that are costly to reconstruct after failures. Checkpoint and rollback (C/R) are becoming essential for recovery, yet their security implications remain largely unexplored. Correct rollback does not imply secure recovery: a faithfully restored checkpoint may resume an execution whose states, assumptions, and external effects never coexisted in any valid history. In this paper, we present the first systematic security study of checkpoint and rollback in exist
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-29T17:40:13.000Z
First collected: 2026-09-21T07:51:58.603Z. This is not the publication date.