Architecture Summary
Repository-local proof surface for security operations and controlled automation, backed by Python service or lab runtime, GitHub Actions validation.
Free architecture utility
ai-security-redteam-lab
Free AI red-team control checklist for prompt-injection and tool-risk reviews.
Built for AI security reviewers and governance teams. Use the readiness check below, inspect the implementation, and compare public aggregate demand without submitting project data.
01 / Review
Architecture readiness check
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0 of 5 reviewed
02 / System map
What the architecture proves
These notes are derived from this repository's checked-in system architecture, not generic product copy.
Runtime And Data Flow
Primary domain: security operations and controlled automation.
Cloud Or Local Deployment Boundary
Operating model: segmented ingest, least-privilege response services, audit trails, and emergency rollback boundaries
Deployment patterns
Security control plane with audit logging, isolation boundaries, and response review gates
Control boundaries
identity boundary and least-privilege service access environment separation for local, staging, and managed runtime paths secret storage outside source and deterministic fallback for missing credentials observability hooks for logs, metrics, traces, and audit events rollback path...
03 / Aggregate
Public interest pulse
anonymous aggregate AI security control interest and checklist-open counts
All-time consented events0
Today's consented events0
04 / Boundary
Useful data, narrow collection
ads allowed only on public red-team education pages; exploit labs, security findings, and dashboards are ad-free
Only four coarse fields are accepted after consent: repository, allowlisted event, public surface, and consent-policy version. Raw inputs, URLs, referrers, identities, files, prompts, and sensitive details are rejected.