PromptRedTeam vs RedAmon
PromptRedTeam
promptredteam.comRedAmon
redamon.orgSide by side
| Figure | PromptRedTeam | RedAmon |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · AI Red Teaming Tools | 7.8 (#11) | 7.8 (#12) |
| Purpose | PromptRedTeam scans user inputs for prompt injection before they reach an LLM. | RedAmon is an AI-powered agentic red-team framework that automates reconnaissance, exploitation and post-exploitation operations. |
Plans
In their own words
PromptRedTeam
PromptRedTeam is an open-source tool that scans user input before it reaches a large language model. It detects direct injection, role manipulation, zero-width injection, delimiter injection, and encoded payloads. Direct-injection checks examine override keywords, conflicting instructions, and prompt structure. Role checks cover known jailbreak patterns, role-play scenarios, and bypass attempts. The tool detects hidden zero-width characters, normalizes Unicode, analyzes Base64 and other encodings, and can decode suspicious text before scanning again. Delimiter checks look for context-breaking markers, Markdown abuse, and structural manipulation. Applications can call the hosted API with a POST request to https://api.promptredteam.com/test, or run PromptRedTeam through self-hosted deployment. The live tester accepts up to 1,000 characters and allows 10 requests per minute; self-hosting provides unlimited usage. Python, JavaScript, and cURL examples are provided. The suggested workflow is to scan incoming text, then block detected threats or log them for review. PromptRedTeam is available through web, API, and self-hosted platforms, with automated detection and hybrid deployment. It is released under the MIT License.
RedAmon
RedAmon is a free, open-source framework for authorized red-team operations, including reconnaissance, exploitation and post-exploitation. It maps attack surfaces from domains, IP/CIDR targets or batches of domains, then merges findings into a Neo4j graph that its AI agent can query for planning and exploitation. GVM/OpenVAS provides network vulnerability scanning with more than 170,000 NVTs; separate tools detect secrets and scan for vulnerable or malicious packages against a local OSV database. The Secret Multiscanner has 1,060 detectors across 14 sources and optional live API verification. RedAmon supports twelve AI providers and more than 400 language models, and its MCP server lets external agents drive the framework. The Dockerized application runs on Linux, macOS and Windows and supports on-prem deployment. Tools, scanners and agents run in separate containers with per-job ephemeral filesystems and network namespaces. Rules of Engagement, approval gates and scope controls govern operations, with a guardrail blocking government, military and intergovernmental targets. The project warns that configured API keys and credentials are stored unencrypted in PostgreSQL, leaving database security to the user.