DeepTeam review
A Python-first toolkit for testing AI applications against attacks, leaks and unsafe outputs.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
DeepTeam is an open-source Python framework for red-teaming LLM applications, agents, RAG pipelines and chatbots. It dynamically generates adversarial attacks, probes a supplied model callback and evaluates responses with vulnerability-specific metrics. The scope covers prompt injection, single-turn and multi-turn jailbreaks, PII leakage, prompt leakage, toxicity, authorization, injection and other unsafe outputs. It is best suited to Python teams that want security testing embedded in development workflows and aligned with recognized AI risk frameworks.
The testing depth is its clearest strength. Teams can define custom vulnerabilities and evaluation criteria, then assess results locally with risk scoring. Framework mappings include OWASP, NIST AI RMF and MITRE ATLAS, helping connect technical tests with compliance and risk processes. DeepTeam also supports attack strategies across multiple turns rather than limiting checks to isolated prompts. That makes it a fit for teams evaluating conversational behavior, agent interactions and RAG-based applications, while teams seeking only a narrow collection of static prompt checks may find its broader workflow unnecessary.
DeepTeam connects with OpenAI, Claude, Gemini, Azure OpenAI, AWS Bedrock, Vertex AI, Mistral, LiteLLM and Portkey. For automation, it supports GitHub Actions, GitLab CI, Jenkins, CircleCI, Buildkite and Azure Pipelines. The self-hosted, CLI and Python-based approach gives engineering teams control over execution and integration, but it also places setup, execution and result management within the team’s environment. Choose DeepTeam when programmable, framework-mapped red-teaming is the priority; consider an alternative if you need a hosted security console or a broader centralized management layer.
DeepTeam pros and cons
- Where it wins
- Tests injection, jailbreaks, PII leakage and unsafe outputs
- Maps assessments to OWASP, NIST and MITRE ATLAS
- Runs through CLI or Python across major AI providers and CI tools
- Where it doesn't
- Self-hosted workflows require technical ownership
- Local results and scoring may not suit centralized governance alone
- Focused on testing rather than full security-program management
DeepTeam fact sheet, pricing and score →
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