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AgentSeal vs Prompt Fuzzer

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AgentSeal

8.0#2 in ai red teaming toolsFrom $19 a month
Free planWebAPILinuxmacOS
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What both publish

FactAgentSealPrompt Fuzzer
Attack coveragePro adds 45 MCP-poisoning, 28 RAG-poisoning, and 13 multimodal probes plus behavioral genome mapping.The repository lists 16 attack types, including jailbreak, prompt injection, RAG poisoning, and system prompt extraction.
InstallationThe project publishes installation through pip and npm packages.The repository instructs users to install the tool with pip and requires Python 3.10 or newer.
LLM providersThe site lists Ollama, OpenAI, Anthropic Claude, OpenRouter, Google Gemini, DeepSeek, Groq, Together AI, LM Studio, llama.cpp, vLLM, and compatible OpenAI chat API endpoints.The repository lists support for 16 LLM providers, including OpenAI, Anthropic, Azure OpenAI, Cohere, Google PaLM, and Ollama.
PurposeAgentSeal is an open-source security scanner and toolkit for testing AI agent prompts, auditing MCP servers, and detecting agent vulnerabilities.Prompt Fuzzer tests and hardens the system prompts of AI applications against vulnerabilities.

AgentSeal plans

  • FreeFree
  • Pro$19 a month

Prompt Fuzzer plans

No prices published.

Pick AgentSeal if…

AgentSeal suits teams assessing prompt and MCP-related security, including those integrating scans into CI. Its offline CLI option may suit users working with a local Ollama model.

Pick Prompt Fuzzer if…

It is aimed at developers building generative AI, LLM-based, or RAG applications who want to assess prompt resilience. It may also suit teams that need custom or self-hosted LLM endpoints.

Charts they share