DeepTeam vs ProofLayer
DeepTeam
trydeepteam.comProofLayer
proof-layer.comSide by side
| Figure | DeepTeam | ProofLayer |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · AI Red Teaming Tools | 7.8 (#10) | 7.5 (#16) |
Plans
In their own words
DeepTeam
DeepTeam is an open-source Python framework for red teaming large language model systems. It offers more than 50 ready-to-use vulnerability checks covering bias, toxicity, personal-information leakage, prompt leakage, and security risks. Simulated attacks include jailbreaks, prompt injection, automated evasion, data extraction, and response manipulation. Vulnerability-specific LLM-as-a-Judge metrics return a binary score with reasoning. Supported reference frameworks include OWASP, NIST AI RMF, MITRE ATLAS, the EU AI Act, BeaverTails, and Aegis. 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 pip in a Python virtual environment, and attacks are dynamically simulated without a prepared dataset. Results can be saved locally or sent to Confident AI for centralized viewing and production red teaming through a UI. The framework is Apache 2.0 licensed and supports self-hosted or API use.
ProofLayer
ProofLayer scans AI code before deployment, red-teams agents continuously, and protects MCP traffic at runtime, turning findings into audit-ready evidence. Its open-source scanner checks coding agents, MCP servers, prompts, skills, code, and packages from a developer workstation, CI, or as an MCP tool. It flags risks including prompt injection, hallucinated packages, exposed secrets, unsafe MCP tools, and vulnerable generated code. Autonomous attack campaigns test LLM applications, multi-agent systems, RAG pipelines, and MCP servers for issues such as jailbreaks, data exfiltration, tool abuse, RAG poisoning, and memory injection. Verified breaches include replay traces and audit-ready evidence. Runtime protections test MCP traffic for tool poisoning, excessive permissions, unsafe tool execution, and supply-chain risk. Listed targets and integrations include OpenAI, Anthropic, Azure OpenAI, self-hosted Qwen, Llama, and Mistral, plus LangGraph, LangChain, ChromaDB, and MCP servers. ProofLayer says it generates evidence for SOC 2, NIST AI RMF, the EU AI Act, and ISO/IEC 42001. The free Community plan includes a CLI and MCP scanner, 1,700+ detection rules, prompt injection probes, MCP tool testing, a community rule library, and an MIT license.