| --- |
| license: apache-2.0 |
| pretty_name: DeviceBench |
| language: |
| - en |
| tags: |
| - clinical-ai |
| - llm-security |
| - ai-agents |
| - healthcare |
| - haarf |
| - quokkaguard |
| - synthetic |
| size_categories: |
| - n<1K |
| task_categories: |
| - other |
| --- |
| |
| # DeviceBench |
|
|
| **A fail-closed safety broker for AI agents that actuate ventilators, infusion pumps, and monitors.** |
|
|
| DeviceBench is the benchmark corpus for *Fail Closed at the Bedside: A Device-Safety Broker for Agents that Actuate Life-Critical Medical Devices*, the `qubroker` module of the QUOKKAGUARD program. It ships with the [`qubroker`](https://github.com/quome-cloud/qubroker) repository, which contains the `qfire` gateway layer under test, the experiment harness, and the paper. |
|
|
| A version-pinned device invariant table (devicebench/devices.json, 014-devices-v1, embedded into the binary via include_str!) plus five deterministic JSONL corpora over ventilator, infusion pump, and cardiac monitor: 216 live-agent scenarios (V1 out-of-range actuation, V2 alarm/safety-function interference, V3 classification-integrity violation, 54 each, plus 54 matched safe cases), 120 legitimate titrations, 60 partition cases with a no-agent control, 60 degradation KPI traces with injected onset, and 40 chaos fault sequences; seed 42, no real device data. |
| |
| **All data are synthetic.** No real patient data or protected health information (PHI) is included; clinical content is generated from templates with fixed seeds. |
| |
| ## Files |
| |
| | File | Size | Rows | |
| |---|---|---| |
| | `devicebench/degradation.jsonl` | 23 KB | 60 rows | |
| | `devicebench/devices.json` | 2 KB | | |
| | `devicebench/faults.jsonl` | 43 KB | 40 rows | |
| | `devicebench/legit.jsonl` | 17 KB | 120 rows | |
| | `devicebench/partition.jsonl` | 8 KB | 60 rows | |
| | `devicebench/scenarios.jsonl` | 91 KB | 216 rows | |
| |
| ### Record schemas |
| |
| - `devicebench/degradation.jsonl`: `case_id`, `device`, `onset`, `kpi_trace` |
| - `devicebench/faults.jsonl`: `case_id`, `device`, `sequence` |
| - `devicebench/legit.jsonl`: `case_id`, `device`, `risk_class`, `param`, `value`, `patient_kg` |
| - `devicebench/partition.jsonl`: `case_id`, `device`, `last_cmd`, `no_agent_harm` |
| - `devicebench/scenarios.jsonl`: `case_id`, `device`, `vuln`, `prompt`, `proposed_param`, `pressured_value`, `safe_value`, `patient_kg`, `ground_truth_unsafe` |
|
|
| ## How it was generated |
|
|
| The corpus is produced by the generator in the paper repository and is fully deterministic (fixed seeds), so it can be regenerated byte-for-byte. |
|
|
| ```bash |
| # from the qubroker repository root (deterministic seeds) |
| python3 scripts/014-device-broker/gen_devicebench.py |
| ``` |
|
|
| ## Intended use |
|
|
| Evaluating the **device** enforcement layer of a clinical-agent security gateway (HAARF control C8.3/8.6/3.1): When an AI agent actuates a ventilator, infusion pump, or cardiac monitor, a wrong action is immediate physical harm, and a compliant model under clinical pressure will set whatever value it is told to. |
|
|
| The experiments that consume it (E-series in the paper) are reproduced from the repository: |
|
|
| ```bash |
| git clone https://github.com/quome-cloud/qubroker |
| cd qubroker |
| cargo build --release |
| ``` |
|
|
| then follow the *Reproduce the experiments* section of its README. |
|
|
| ## Citation |
|
|
| This benchmark was built to evaluate a control of the **Healthcare AI Agents Regulatory Framework (HAARF)**, the source framework for the QUOKKAGUARD program. Please cite both the paper and HAARF: |
|
|
| ```bibtex |
| @unpublished{schwoebel2026qubroker, |
| author = {Schwoebel, Jim and {QUOKKAGUARD Contributors}}, |
| title = {Fail Closed at the Bedside: A Device-Safety Broker for Agents that Actuate Life-Critical Medical Devices}, |
| note = {Preprint. Quome, QUOKKAGUARD program (qubroker module)}, |
| year = {2026}, |
| url = {https://github.com/quome-cloud/qubroker} |
| } |
| |
| @unpublished{schwoebel2026haarf, |
| author = {Schwoebel, Jim and Frasch, Martin and Spalding, Art and Sewell, Ed and Englert, Phil and Halpert, Ben and Overbay, Collin and Semenec, Ingrida and Shor, Joel}, |
| title = {{HAARF}: Healthcare {AI} agents regulatory framework --- a comprehensive security verification standard for autonomous {AI} systems in clinical environments}, |
| note = {medRxiv Preprint}, |
| year = {2026}, |
| month = {April}, |
| doi = {10.64898/2026.04.09.26350519}, |
| url = {https://www.medrxiv.org/content/10.64898/2026.04.09.26350519v1} |
| } |
| ``` |
|
|
| ## License |
|
|
| Apache License 2.0. Copyright (c) 2026 Quome, Inc. |
|
|
