MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and Repair
Score
81首次系统性地提出智能体内存安全全生命周期基准，填补了现有研究空白，具有显著的信息增量。
实验设计科学严谨，覆盖多维度配置组合，数据呈现清晰，分析深入，但部分结论依赖于当前特定后端。
为 Agent 开发者和安全工程师提供了直接可用的评测方法和对比数据，对实际系统选型和防御设计有重要参考。
当前 AI Agent 安全备受关注，该工作紧跟热点，具有极强的时效性和前沿性。
发布在预印本平台 arXiv，作者团队来自学术机构，方法透明、可复现，信源可靠。
Base 89.5 × T2 Source weight ×0.9 = 81
Curation line 70Selected
Why selected
Rigorous experimental design covering multi-dimensional configurations with detailed data, offering pioneering reference value for AI agent security.
AI commentary
「This paper is a must-read for anyone concerned with AI agent security. It's not just another benchmark; it's the first to quantify the full chain of memory poisoning—write, persist, execute, repair—under a unified framework. If you are building production-grade agent systems, this paper directly reveals the risk differences across memory backends and why selective repair can be much harder than expected.」
Quick overview
MemSecBench is a task-grounded benchmark for the lifecycle security of agent memory systems, covering 310 cases drawn from 48 realistic contexts across code, science, daily life, and office work. Each case follows a controlled Write-Execute-Forget protocol in an isolated runtime. Experiments are conducted on a 24-configuration matrix of two agent harnesses, four memory backends, and three LLM backends. Results show that malicious memory persists in 84.2% of all configurations, the full attack chain succeeds in 50.3%, and selective repair reaches 56.1% among successfully poisoned cases. Significant differences in lifecycle security are observed across memory system stacks.
- MemSecBench contains 310 cases across code, science, daily life, and office scenarios.
- Experiments span 24 configurations: 2 agent harnesses × 4 memory backends × 3 LLM backends.
- Malicious memory persists in 84.2% of all configurations; full attack chain succeeds in 50.3%.
- Among successfully poisoned cases, selective repair rate is 56.1%, with large gaps between memory stacks (up to 16.1 pp for attack success, 41.3 pp for repair).
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