{
  "id": 14808,
  "url": "https://arxiv.org/abs/2607.27080v1",
  "title": "MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and Repair",
  "summary": "Memory systems allow agents to retain and reuse information from past interactions, but they can also let malicious content persist. A malicious instruction crafted by an attacker may be stored in long-term memory, recalled much later, and quietly shape a real action. Recent benchmarks increasingly examine agent memory security, yet few trace the same malicious semantics across persistence, downstream consequences, and selective repair under diverse memory-backend comparisons. To address this ga",
  "authors": "Xuanze Chen, Xukang Xie, Wentao Fu, Jiajun Zhou, Shanqing Yu, Qi Xuan",
  "category": "research",
  "topics": "privacy-surveillance,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-29T16:06:54.000Z",
  "fetched_at": "2026-07-30T05:10:24.387Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14808",
  "original_url": "https://arxiv.org/abs/2607.27080v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}