DeepTeam

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Introduction

DeepTeam is a simple-to-use, open-source red-teaming framework for LLM systems, described in its README as penetration testing for LLMs. It comes from Confident AI, the company behind DeepEval.

It simulates attacks such as jailbreaking, prompt injection and multi-turn exploitation to uncover vulnerabilities like bias, PII leakage and SQL injection in AI agents, RAG pipelines and chatbots. Vulnerabilities and attack methods are configurable, frameworks such as OWASP Top 10 for LLMs map tests to known risks, and the README notes it also offers guardrails to prevent these issues in production.

In the quality loop DeepTeam is a security test before release and on a schedule.

The source code is at confident-ai/deepteam on GitHub under the Apache-2.0 licence, with about 3,100 stars; the most recent commit was on 23 October 2026.

Features

1. Attack simulation: Jailbreak, injection and multi-turn attacks.
2. Vulnerability catalogue: Bias, PII leakage, toxicity and more.
3. Framework mapping: OWASP and other risk frameworks.
4. Custom vulnerabilities: Define your own.
5. Guardrails: Production protections.
6. Python API and CLI: Scriptable runs.

Pros

1. Easy start: Simple API for red-team runs.
2. Free to use: Open source under the Apache-2.0 licence, so the core tool costs nothing to use.
3. Actively maintained: The repository had commits as recent as 23 October 2026.
4. Community: About 3,100 GitHub stars.

Cons

1. LLM costs: Attack generation uses model calls.
2. Coverage limits: No tool finds every attack.
3. Young project: Fast-changing APIs.

Usage and Links (Example)

from deepteam import red_team
from deepteam.vulnerabilities import Bias, PIILeakage
from deepteam.attacks.single_turn import PromptInjection

async def model_callback(prompt: str) -> str:
    return await my_app(prompt)

red_team(model_callback=model_callback, vulnerabilities=[Bias(), PIILeakage()], attacks=[PromptInjection()])

Resources:

• DeepTeam website
• GitHub repository

Pricing

DeepTeam is free and open source under the Apache-2.0 licence.

Recommended for?

1. Teams shipping chatbots and agents that need security testing.
2. DeepEval users adding red teaming.

Conclusion

DeepTeam makes LLM red teaming approachable.

Run it alongside garak or PyRIT for broader attack coverage.

On CheckOps, DeepTeam is filed under the Security testing and Release & CI gates stages. Related tools listed here include Guardrails AI, NeMo Guardrails, Lakera, garak, PyRIT and Giskard. A short trial on a real project, with your own code, data and pipeline, is usually the fastest way to choose between them, because fit matters more than feature lists. Facts here come from the official site, documentation and repository, checked on 11 November 2026.