Skip to content
NewA calmer, faster ZeroHour

Enclawed adds hardware-rooted supervision for LLM jobs on HPC

Original title: A Deterministic Security Runtime for LLM Agents on MPI and Batch-Scheduled HPC Systems: Consensus-Governed, Hardware-Rooted Supervision of Every Rank

arXiv cs.CRby Alfredo Metere ()1 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

A launch gate denied all 24 planted launches and allowed 108 legitimate ones.

The paper extends Enclawed from a single-user runtime to parallel HPC jobs and agent swarms. A hardware root of trust and a policy-only launch gate are meant to stop a compromised control host from authorizing bad work. Running ranks receive short leases from signed heartbeats and are paused or killed if a lease lapses or tampering is detected. The authors say it needs no administrator rights, uses SSH, and adds about 3 seconds of startup on a 16-rank LAMMPS job.

Unconfirmed: Resistance claims are the authors' lab results, not independent operational confirmation.

Key facts
  • Of 23 surveyed systems, none supervised the running job.
  • Twelve live attacks on keyed ranks, including colluding coordinators, failed closed.
  • The LAMMPS compute loop was unchanged, including on GPUs.
  • Enclawed's core and the HPC Agent Security Benchmark are open source.
Explain this AI news with Vani AIWhat was announced, what is new and why it matters, in a new chat

From the original article

1 min read at arxiv.org

Large language model agents launch simulations on high-performance computing (HPC) systems, where one sbatch or mpirun can commit thousands of node-hours and a forged result can cost lives. Of 23 surveyed systems, none supervises the running job, and none holds when the control host is compromised. We fix both.

arXiv cs.CR

By Alfredo Metere · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.