DeepTeam

DeepTeam is an open-source framework that enables adversarial testing, vulnerability scanning, and risk assessment for LLM applications.

DeepTeam is an open-source framework designed to help teams secure LLM applications by identifying vulnerabilities, jailbreaks, and agentic risks. The framework uses LLMs to simulate adversarial attacks, including multi-turn chains like Crescendo and Linear, to uncover potential failures. Users can conduct risk assessments aligned with industry standards such as OWASP Top 10 for LLMs, NIST AI RMF, MITRE ATLAS, and the EU AI Act. It supports testing against safety benchmark datasets like BeaverTails and Aegis directly within the workflow. The tool integrates into existing CI/CD pipelines to provide continuous red teaming without requiring additional glue code.

DeepTeam at a glance

Best for: Software engineer
Runs on: CLI
Pricing: Free
Released: March 2025
Category: AI coding tool
Website: trydeepteam.com

Key features

Adversarial LLM attack simulations
Multi-turn jailbreak attack chains
OWASP Top 10 for LLMs assessment
MITRE ATLAS alignment
NIST AI RMF and EU AI Act compliance checks
Support for BeaverTails and Aegis safety datasets
Detection of bias, toxicity, and PII leakage

Use it for

Simulating multi-turn adversarial attacks
Mapping model risk posture against NIST and EU controls
Conducting continuous red teaming in CI/CD pipelines
Testing for prompt injection and jailbreak vulnerabilities

Alternatives to DeepTeam

VulnClaw — It uses LLM agents to autonomously execute end-to-end security testing loops.
llm-d — Deploys production-grade LLM serving on existing hardware clusters.
ARTEX — Runs autonomous multi-agent penetration testing with a dual-graph architecture.
DeepAudit — Multi-agent architecture and sandbox PoC verification reduce false positives.
DeepSource — Automated code reviews that combine static analysis with AI agents.
HackerOne — Combines AI agents with expert human researchers to prioritize and fix real risks.
DeepCode — Turn natural language and research papers into production-ready code with parallel agents.
LMDeploy — Accelerates inference with high-performance engines and quantization tools.
DeepSeek Harness — Builds on a plugin architecture to organize documents, analyze tables, and write code.
rLLM — Enables reinforcement learning training for AI agents with minimal code changes.
Autonomous Pentest Agent — Dual-graph architecture for asset synchronization and multi-step attack planning.
StackEngine — It automatically redacts and restores sensitive credentials during live LLM workflows.

All DeepTeam alternatives