DeepTeam vs garak

DeepTeam8.8Visit Ggarak8.6Visit

Higher score DeepTeam #6 in AI Red Teaming Tools 8.8/10 Open source ✓ 0 of 2 features Visit DeepTeam

vs

G garak #8 in AI Red Teaming Tools 8.6/10 Free plan Free plan✓ 0 of 2 features Visit garak

• DeepTeam fits best

  Framework-mapped open-source red-team workflows

• garak fits best

  Free self-hosted LLM probing

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Side by side

Feature	DeepTeam 8.8/10 Visit ↗	Ggarak 8.6/10 Visit ↗
At a glance
Editor score	8.8	8.6
Ranking	#6 in AI Red Teaming Tools	#8 in AI Red Teaming Tools
Best for	Framework-mapped open-source red-team workflows	Free self-hosted LLM probing
Pricing model	Free	Free
Starting price	Open source	Free plan
Free plan	Not checked yet	✓ (best)
Free trial	—	—
Deployment	Self-hosted	Self-hosted
Support	Community, Docs	Email, Community, Docs
Integrations	15 integrations	8 integrations
Built for	Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features DeepTeam 0/2 · garak 0/2
Custom tests	Not checked yet	Not checked yet
Continuous monitoring	Not checked yet	Not checked yet
Specs
Attack categories	Not checked yet	Not checked yet
Target systems	Not checked yet	Not checked yet
Automation level	Not checked yet	Not checked yet
Deployment	Not checked yet	Not checked yet
Report exports	Not checked yet	Not checked yet
Our review
Pros	Covers injection, jailbreaks, leakage, toxicity, and unsafe outputs Maps assessments to OWASP, NIST, and MITRE ATLAS Supports CLI, Python, major AI providers, and CI pipelines	Free open-source access to adversarial probes and detectors Supports hosted and local model interfaces across major integrations Produces structured JSONL reports and hit logs
Cons	Self-hosted deployment puts environment setup on your team CLI and Python workflows may suit technical teams better Focused on adversarial and safety testing rather than general monitoring	Self-hosted operation leaves infrastructure and maintenance with the team Command-line workflow may not suit buyers seeking a graphical console Effective coverage depends on selecting suitable probes and detectors
Our verdict	DeepTeam is an open-source Python framework for red-teaming LLM applications, AI agents, RAG pipelines, and chatbots. It is designed for teams that need to simulate adversarial behavior and assess safety vulnerabilities in their own model… Read the review →	garak is an open-source command-line toolkit for assessing the security and robustness of large language models and language-model systems. It is designed for researchers, developers, and security teams evaluating LLM applications, whether… Read the review →

Strengths and trade-offs

• DeepTeam — where it wins

  • Covers injection, jailbreaks, leakage, toxicity, and unsafe outputs
  • Maps assessments to OWASP, NIST, and MITRE ATLAS
  • Supports CLI, Python, major AI providers, and CI pipelines

  Where it doesn't

  • Self-hosted deployment puts environment setup on your team
  • CLI and Python workflows may suit technical teams better
  • Focused on adversarial and safety testing rather than general monitoring

• garak — where it wins

  • Free open-source access to adversarial probes and detectors
  • Supports hosted and local model interfaces across major integrations
  • Produces structured JSONL reports and hit logs

  Where it doesn't

  • Self-hosted operation leaves infrastructure and maintenance with the team
  • Command-line workflow may not suit buyers seeking a graphical console
  • Effective coverage depends on selecting suitable probes and detectors

• DeepTeam8.8/10 · Open source

  A framework-mapped, self-hosted toolkit for adversarial AI safety testing.

  Visit DeepTeamFull verdict →
• Ggarak8.6/10 · Free plan

  Free, extensible LLM probing for teams that can run and interpret self-hosted assessments.

  Visit garakFull verdict →