Mindgard vs OpenSecureAI Scanner
Mindgard
mindgard.aiOpenSecureAI Scanner
opensecureai.comSide by side
| Figure | Mindgard | OpenSecureAI Scanner |
|---|---|---|
| Price from | — | $49/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 3 |
| Spec score · AI Red Teaming Tools | 7.5 (#15) | 9.0 (#2) |
| Spec score · AI Security Testing Tools | 7.4 (#20) | 9.0 (#2) |
| Founded | 2022 | 2026 |
| Headquarters | Boston, Massachusetts, United States, and London, United Kingdom | The company describes itself as global and remote-first rather than listing a physical headquarters. |
| Integrations | Mindgard says it supports APIs, CI/CD, and Burp Suite, including a Burp Suite extension. | The LLM Gateway can forward prompts to a selected OpenAI, Anthropic, xAI, or Groq provider/model and scan the response. |
| Intended users | Mindgard says it is built for security and engineering teams, including AppSec, product security, red team, AI and ML engineering, GRC, and audit teams. | The maker identifies AI application teams, agent and MCP developers, security and compliance reviewers, learners, and red-teamers as audiences for its platform. |
| Purpose | Mindgard’s AI security platform finds, validates, and helps fix high-impact vulnerabilities in AI systems and agents. | OpenSecureAI describes its platform as tools, threat intelligence, and learning resources to protect AI systems from prompt injection, data poisoning, model theft, and emerging GenAI threats. |
Plans
In their own words
OpenSecureAI Scanner
OpenSecureAI Scanner checks untrusted text for patterns that may indicate prompt injection, jailbreaks, system-prompt leaks, or data exfiltration. Its scanPrompt library API returns a 0–100 score, a risk level, and findings for individual rules. Developers can access it as an npm package, CLI, GitHub Action, or REST API; the package targets Node 18+ and has zero runtime dependencies. Authenticated hosted API calls add detections for obfuscation and encoding evasions, indirect injection, tool abuse, multilingual overrides, and de-obfuscation. The LLM Gateway can route prompts to a selected OpenAI, Anthropic, xAI, or Groq provider and scan the response. Documentation says authenticated scans save a summary to the dashboard but do not store raw prompt text; gateway provider keys are not stored or logged. Free access includes in-browser tools and npm packages, while the anonymous API uses the basic engine with IP rate limiting. The Free plan lists 2,000 API requests per month. Pro costs $49 a month, but paid checkout is not self-serve and requires contacting sales.