Comparison vs Other Tools

Pick… When
Red-Team AI You own the source. You’re shipping an agentic AI app with tools and roles. You want findings tied to your code, not generic ones.
Promptfoo You don’t have source access. You need unified eval + red-team. Largest provider matrix.
Garak You’re testing the model itself, not an application. Pure model-level scanning.
PyRIT Python research framework with maximum extensibility.
DeepTeam Already on the DeepEval stack.

Red-Team AI vs Promptfoo

Where Red-Team AI is stronger:

Area Red-Team AI Promptfoo
Source code analysis Reads codebase — tools, roles, guardrails, secrets, call graphs No source access
Agentic attacks 13 categories ~5
Social engineering strategies 20+ ~3
RAG attacks 9 categories ~3
Adaptive rounds Multi-round — defense profiling → strategy rotation → re-targeting Single pass
Strategy × category composition 155 × 141 orthogonal Per-plugin
Self-hosted enterprise Built-in Postgres, AES-256, SSO/OIDC, RBAC, audit log, multi-tenant Enterprise SaaS plan
Risk quantification LLM-powered business impact, financial exposure, incident mapping Not built-in
Guardrail recommendations Maps findings to Votal Shield configs Not built-in
Compliance frameworks 11 built-in 6

Where Promptfoo is stronger:

Area Promptfoo Red-Team AI
Maturity & community 20k+ stars, OpenAI-backed Beta
Provider support 50+ 4
Compliance plugins 56 granular plugins 10 industry-specific categories
Dataset benchmarks 11 curated (HarmBench, BeaverTails, ToxicChat, XSTest) None
CI/CD First-class GitHub Action, PR code scanning API-based
Eval + red-team Combined accuracy eval + security testing Security testing only
Multi-turn agents Hydra, GOAT, crescendo Scripted, adaptive (LLM follow-ups), crescendo
GCG attacks Gradient-based adversarial optimization Not available
Multimodal encoding Image, video, audio encoding bypass Semantic multimodal attacks

They’re complementary: Promptfoo for black-box DAST, Red-Team AI for white-box SAST+DAST.

Project Status & Community

Beta. Honest assessment:

  • ✅ Stable — codebase analyzer, attack runner, judge, reports, dashboard, Docker, enterprise backend
  • ✅ Working well — 141 categories × 155 strategies, multi-round adaptation, multi-turn crescendo, 11 compliance frameworks, risk quantification, Postgres + encryption
  • 🚧 In progress — Hermes agent integration, cross-run memory, attack path visualization
  • 🔜 Roadmap — GitHub Action, PDF reports, webhook notifications, llm-shield guardrail auto-deploy

Community

License: MIT.