Mindgard vs PromptRedTeam
Mindgard
mindgard.aiPromptRedTeam
promptredteam.comSide by side
| Figure | Mindgard | PromptRedTeam |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · AI Red Teaming Tools | 7.5 (#15) | 7.8 (#11) |
| Purpose | Mindgard’s AI security platform finds, validates, and helps fix high-impact vulnerabilities in AI systems and agents. | PromptRedTeam scans user inputs for prompt injection before they reach an LLM. |
| Workflow | The platform supports discovery, attacker-style reconnaissance, adaptive red teaming, and defense across AI systems. | The site says applications can scan inputs before they reach an LLM and block threats or log them for review. |
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.