Breaking

Confident AI's DeepTeam Puts Local Red-Teaming Into Python Workflows for LLM Apps

September 18, 2026 at 23:38 EDT

Security
AI Agents
Open Source

Confident AI's DeepTeam is drawing developer attention as an Apache-2.0 Python framework for red-teaming LLM applications on a local machine. The package simulates jailbreaks, prompt injection, multi-turn exploitation and other adversarial probes against agents, RAG pipelines and chatbots, then turns the results into risk assessments.

Sept. 19, 2026 · Confident AI

Local red teaming for LLM apps

DeepTeam packages adversarial testing for agents, RAG pipelines and chatbots into a Python workflow that runs on a developer machine.

50+

ready-to-use vulnerabilities

20+

adversarial attack methods

production-ready guardrails

1.0.9

latest PyPI package

Built-in coverage, drawn to scale

Each full segment represents about five built-in items.

50+

vulnerabilities

20+

attack methods

guardrails

How a DeepTeam run works

1. Wrap

Connect the LLM app with a callback.

→

2. Attack

Generate adversarial prompts and conversations.

→

3. Score

Return binary results, reasoning and risk scores.

Why teams like it

Local execution, Python and CLI workflows, standards mappings, and repeatable tests for agents and RAG systems.

What still needs care

Automated judges are imperfect, broad attack sweeps raise cost, and open issues flag guardrail scoring and Python 3.14 support.

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