Aria AI — Cybersecurity
Collection
Evidence-linked cybersecurity review demos. Analyst workstations, not automatic enforcement. • 27 items • Updated
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IaC Terraform lab scenarios
Synthetic AWS Terraform stacks for the IaC configuration-review demo: public exposure, a private lookalike, unresolved variables with a remote module, public RDS plus wildcard IAM, and a single-region CloudTrail.
Organization dataset and collection are public. Live Gradio will be alirezaaminzadeh/iac and the organization card AriaAICompany/iac after the daily Space-creation cap resets (scripts/publish.py). Runnable Space source is stored in demo/. Collection: Aria AI — Cybersecurity.
Generated data, seed 24. Resources, account 123456789012, and ARNs are laboratory placeholders. The control catalog is checkov-mapped-aws-tf-v1 (2026-09-20). Checkov is not executed on this dataset.
Files
- data/scenarios.jsonl
- data/expected.json
- data/schema.json
- data/splits.json
- data/controls.json
- data/evaluation.json
- data/sample_preview.json
- data/stacks/ — five scenario folders of
.tffiles - demo/ — runnable Gradio Space source
- showcase/ — organization static card
Split
Development vs test is by scenario family: exposure and data plane vs lookalike, unknown context, and trail. Renaming one resource of the same finding is not placed across the split.
License
CC-BY-4.0. Keep the synthetic-data and laboratory-ARN labels.
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