Promptfoo vs ProofLayer
Promptfoo
promptfoo.devProofLayer
proof-layer.comSide by side
| Figure | Promptfoo | ProofLayer |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · AI Red Teaming Tools | 8.6 (#4) | 7.5 (#16) |
| Red teaming | Its red-team workflow generates adversarial tests for vulnerabilities before deployment and maps testing to OWASP and NIST frameworks. | Autonomous attack campaigns test LLM applications, multi-agent systems, RAG pipelines, and MCP servers; verified breaches include replay traces and audit-ready evidence. |
| What it does | Promptfoo is a local-first open-source CLI and library for evaluating and red-teaming LLM applications. | ProofLayer scans AI code before deployment, red-teams agents continuously, and protects MCP traffic at runtime, turning findings into audit-ready evidence. |
Plans
In their own words
Promptfoo
Promptfoo helps developers and enterprises evaluate prompts and test AI applications for security risks. It compares prompt outputs across multiple models in a web view. Red-team testing simulates users to look for prompt injections, jailbreaks, data leaks, business rule violations and insecure agent tool use. Its getting-started guide lists more than 60 providers, including OpenAI, Anthropic, Google and local models such as Ollama. Integrations include CI systems such as GitHub Actions, GitLab CI, Jenkins, Azure Pipelines, CircleCI and Bitbucket Pipelines, plus Splunk, Burp Suite, Google Sheets and MCP. Installation is available through npm, npx or Homebrew. Promptfoo requires Node.js 22.22.0 or newer and recommends Node.js 24 LTS. The free Community plan includes all LLM evaluation features and 10k red-team probes per month, and can run locally or be self-hosted. Enterprise includes managed cloud deployment; On-Premise runs on customer infrastructure. Promptfoo says it is based in San Francisco, is now part of OpenAI and remains open source.
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.