Trusted Credentials, Untrusted Behavior: Benchmarking LLM-Agent Security in High-Performance Computing
Large language model (LLM) agents are starting to take on routine work in high-performance computing (HPC), including monitoring Slurm jobs, diagnosing failed builds, inspecting simulation output, and coordinating scientific workflows. To do this work, an agent commonly acts under its user's credentials and inherits the user's access to files and the scheduler. This arrangement creates a failure mode that ordinary account-level controls do not capture. Adversarial instructions in a log, tool description, shared file, or peer-agent message may redirect the agent beyond the task the user assigned, even though every resulting command is authenticated and permitted for that account. We refer ...
| Authors | Jie Li |
|---|---|
| Primary category | cs.CR |
| Published | 20 July 2026 |
| Last updated at source | 20 July 2026 |
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