MemSecBench: Benchmarking Agent Memory Security Across Lifecycle
A team of researchers has launched MemSecBench, an innovative tool aimed at evaluating the security of memory systems used by agents. This benchmark fills a crucial void in monitoring harmful semantics, ranging from persistence to subsequent effects and targeted corrections. It features 310 diverse scenarios spanning 48 practical environments, including programming, scientific inquiry, everyday tasks, and workplace activities. Each scenario adheres to a stringent Write-Execute-Forget protocol within a designated runtime, utilizing a setup involving an agent harness, memory backend, and large language model. Further information is available in the related arXiv publication, paper number 2607.27080.
Key facts
- MemSecBench is a task-grounded benchmark for lifecycle security of agent memory systems.
- It contains 310 cases from 48 realistic contexts across code, science, daily life, and office work.
- Each case follows a Write-Execute-Forget protocol in an isolated runtime.
- Agent configuration includes an agent harness, a memory backend, and an LLM backend.
- Evidence-based adjudication combines deterministic and LLM-based evaluation.
- The benchmark tracks malicious semantics from persistence to consequence and repair.
- arXiv paper number: 2607.27080.
Entities
Institutions
- arXiv