deepteam vs iFixAi
Open-source red-teaming framework for LLM systems: 50+ vulnerabilities, jailbreak/injection/multi-turn attacks against agents, RAG pipelines and chatbots — plus guardrails. Runs locally. — versus — Independent auditor for AI agents: drops the agent into a simulation of your business, sends realistic requests, and scores operational alignment, permissions and red-team risk in ~2 minutes.
Both red-team LLM systems. DeepTeam enumerates vulnerability classes; iFixAi frames it as operational alignment inside a simulated business.
| deepteam | iFixAi | |
|---|---|---|
| Stars | 3.1k | 44k |
| Forks | 504 | 1.8k |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last activity | 14 days ago | 4 days ago |
| Topics | security, evals | evals, security |
| Curated connections | 4 | 3 |
deepteam — the curator's take
Penetration testing for LLM apps with a framework's ergonomics: pick from 50+ documented vulnerabilities (bias, PII leakage, SQL injection via prompt) and simulated attacks including multi-turn exploitation, run locally, then wire the matching guardrails. Built on DeepEval, so red-team results plug into an eval workflow rather than dying in a report. NOT neutral infrastructure — it funnels toward the Confident AI platform for storing results (self-host your own reporting if that matters), and like every attack library it tests known patterns: a clean run is a floor, not a clearance.
iFixAi — the curator's take
Use it before shipping an agent into a business process, to check it respects roles, goals and who may do what, not just jailbreak resistance. Can be run by a human or by the agent itself. Skip it if you need deep model-level vulnerability scanning (use garak) or a continuous eval platform with tracing. A two-minute audit is a smoke test, not a certification.