| --- |
| license: apache-2.0 |
| pretty_name: SupplyChainBench |
| language: |
| - en |
| tags: |
| - clinical-ai |
| - llm-security |
| - ai-agents |
| - healthcare |
| - haarf |
| - quokkaguard |
| - synthetic |
| size_categories: |
| - n<1K |
| task_categories: |
| - other |
| --- |
| |
| # SupplyChainBench |
|
|
| **A signed CycloneDX AI bill of materials and fail-closed admission gate for clinical AI agents.** |
|
|
| SupplyChainBench is the benchmark corpus for *AI Supply-Chain Integrity for Confidential Clinical Agents: AIBOM Attestation and the Provenance Gap*, the `qubom` module of the QUOKKAGUARD program. It ships with the [`qubom`](https://github.com/quome-cloud/qubom) repository, which contains the `qfire` gateway layer under test, the experiment harness, and the paper. |
|
|
| A clean CycloneDX 1.5 clinical-agent-profile AIBOM plus 15 labeled tampered copies spanning five supply-chain attack classes (S1 weight tamper, S2 known-vulnerable dependency, S3 typosquat, S4 stripped provenance, S5 data tamper) with labels.json ground truth; fully synthetic, seed 42, paired with the pinned OSV snapshot in scripts/004-supply-chain/osv_snapshot.json. |
| |
| **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 | |
| |---|---|---| |
| | `PROFILE.md` | 1 KB | | |
| | `attacks/s1_weight_tamper-0.json` | 7 KB | | |
| | `attacks/s1_weight_tamper-1.json` | 7 KB | | |
| | `attacks/s1_weight_tamper-2.json` | 7 KB | | |
| | `attacks/s2_dependency_cve-0.json` | 7 KB | | |
| | `attacks/s2_dependency_cve-1.json` | 7 KB | | |
| | `attacks/s2_dependency_cve-2.json` | 7 KB | | |
| | `attacks/s3_typosquat-0.json` | 7 KB | | |
| | `attacks/s3_typosquat-1.json` | 7 KB | | |
| | `attacks/s3_typosquat-2.json` | 7 KB | | |
| | `attacks/s4_provenance_gap-0.json` | 6 KB | | |
| | `attacks/s4_provenance_gap-1.json` | 6 KB | | |
| | `attacks/s4_provenance_gap-2.json` | 6 KB | | |
| | `attacks/s5_data_tamper-0.json` | 7 KB | | |
| | `attacks/s5_data_tamper-1.json` | 7 KB | | |
| | `attacks/s5_data_tamper-2.json` | 7 KB | | |
| | `labels.json` | 2 KB | | |
| | `manifests/clean.json` | 7 KB | | |
|
|
|
|
|
|
| ## 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 qubom repository root (deterministic seeds) |
| python3 scripts/004-supply-chain/gen.py --out datasets/004-supply-chain --per-class 3 --seed 42 |
| ``` |
|
|
| ## Intended use |
|
|
| Evaluating the **admission** enforcement layer of a clinical-agent security gateway (HAARF control C3): A clinical AI agent is assembled from base weights, fine-tunes, prompts, rules, detector models, hundreds of library dependencies, tool servers, and reference data, any of which can be backdoored, typosquatted, or left with no verifiable origin before the agent ever runs; weight attestation and the runtime firewall check none of this. |
|
|
| The experiments that consume it (E-series in the paper) are reproduced from the repository: |
|
|
| ```bash |
| git clone https://github.com/quome-cloud/qubom |
| cd qubom |
| 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{schwoebel2026qubom, |
| author = {Schwoebel, James}, |
| title = {AI Supply-Chain Integrity for Confidential Clinical Agents: AIBOM Attestation and the Provenance Gap}, |
| note = {Preprint. Quome, QUOKKAGUARD program (qubom module)}, |
| year = {2026}, |
| url = {https://github.com/quome-cloud/qubom} |
| } |
| |
| @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. |
|
|
