
DeepTeam
DeepTeam is an open-source Python framework for red teaming large language model systems.
What DeepTeam is
DeepTeam is an open-source Python framework for red teaming large language model systems. It provides more than 50 ready-to-use vulnerability checks covering areas such as bias, toxicity, personal-information leakage, prompt leakage, and security risks. Adversarial simulations include jailbreaks, prompt injection, automated evasion, data extraction, and response manipulation. DeepTeam evaluates outputs with vulnerability-specific LLM-as-a-Judge metrics that return a binary result and reasoning. Supported reference frameworks include OWASP, NIST AI RMF, MITRE ATLAS, the EU AI Act, BeaverTails, and Aegis. The listed model providers include OpenAI, Claude, Gemini, Azure OpenAI, AWS Bedrock, Vertex AI, Mistral, LiteLLM, and Portkey. CI/CD listings include GitHub Actions, GitLab CI, Jenkins, CircleCI, Buildkite, and Azure Pipelines. Installation uses a Python virtual environment and pip. A prepared dataset is not required because attacks are generated dynamically. Results can remain local or be sent to Confident AI for centralized viewing and production red teaming through a user interface. DeepTeam is Apache 2.0 licensed and supports self-hosted deployment.
Good
- More than 50 vulnerability checks
- Dynamic attacks without a prepared dataset
- Binary scores with reasoning
- Broad model-provider listings
- Apache 2.0 open-source license
Watch out
- Requires Python environment setup
- Self-hosted deployment
- Centralized viewing uses Confident AI
Who it suits
DeepTeam suits teams assessing LLM vulnerabilities in environments they manage. It is useful for developers who need named safety checks, adversarial simulations, and custom test cases.
Verdict
DeepTeam offers open-source red teaming with broad vulnerability coverage, attack simulation, and standards references. Its self-hosted Python approach suits teams that want control over testing and result handling.
Plans and prices
From DeepTeam's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Open-source framework | Free | Apache 2.0 licensed · Python framework · install with pip |
The facts
Each one read from DeepTeam's own pages, with the date it was checked.
What it does
- Adversarial attacks
- The framework simulates attacks including jailbreaking, prompt injection, automated evasion, data extraction, and response manipulation.checked 8 Oct 2026
- CI/CD integrations
- The site lists GitHub Actions, GitLab CI, Jenkins, CircleCI, Buildkite, and Azure Pipelines under CI/CD.checked 8 Oct 2026
- Community support
- The site links to a Discord community and GitHub repository.checked 8 Oct 2026
- Dataset requirement
- The documentation says a prepared dataset is not required because attacks are dynamically simulated during red teaming.checked 8 Oct 2026
- License
- The site describes DeepTeam as an open-source LLM red teaming framework licensed under Apache 2.0.checked 8 Oct 2026
- Model providers
- The site lists OpenAI, Claude, Gemini, Azure OpenAI, AWS Bedrock, Vertex AI, Mistral, LiteLLM, and Portkey among model providers.checked 8 Oct 2026
- Purpose
- DeepTeam is an open-source framework for red teaming LLM systems and finding risks and vulnerabilities.checked 8 Oct 2026
- Results
- Risk assessments can be saved locally or sent to Confident AI, where users can view results centrally and run red teaming on production applications through a UI.checked 8 Oct 2026
- Risk scoring
- DeepTeam evaluates LLM outputs with vulnerability-specific LLM-as-a-Judge metrics that return a binary score and reasoning.checked 8 Oct 2026
- Setup
- The documentation installs DeepTeam in a Python virtual environment with `pip install -U deepteam`.checked 8 Oct 2026
- Standards
- Supported frameworks include OWASP, NIST AI RMF, MITRE ATLAS, EU AI Act, BeaverTails, and Aegis.checked 8 Oct 2026
- Vulnerability coverage
- The documentation says DeepTeam offers 50+ ready-to-use vulnerabilities, including bias, toxicity, PII leakage, prompt leakage, and security risks.checked 8 Oct 2026
The company
- Maker
- The site credits Confident AI Inc. and says DeepTeam is brought to users by the team behind DeepEval.checked 8 Oct 2026
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