AgentSeal vs OpenSecureAI Scanner
AgentSeal
agentseal.orgOpenSecureAI Scanner
opensecureai.comSide by side
| Figure | AgentSeal | OpenSecureAI Scanner |
|---|---|---|
| Price from | $19/mo | $49/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · AI Red Teaming Tools | 9.4 (#1) | 9.0 (#2) |
| Offline use | The CLI can run fully offline with a local Ollama model, with zero network calls and zero telemetry, according to the site. | The basic scanner engine runs locally in the browser, CLI or GitHub Action; authenticated API keys add hosted detections. |
| Privacy | The privacy policy says prompts are processed in real time and not retained, while scan results and metadata are kept for account history. | Browser tools process prompts locally, the public scan API does not persist submitted text, and authenticated scan history stores summaries rather than raw prompts. |
| Purpose | AgentSeal is an open-source security scanner and toolkit for testing AI agent prompts, auditing MCP servers, and detecting agent vulnerabilities. | 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. |
| System requirements | The repository states Python 3.10+ or Node.js 18+ is required. | The scanner package targets Node.js 18 or newer, uses ESM and TypeScript types, and has zero runtime dependencies. |
| What it does | AgentSeal is an AI-agent security toolkit that red-teams prompts, scans agent files and MCP configurations, and monitors changes. | OpenSecureAI is an AI and generative-AI security platform for detecting prompt injection, data poisoning, model theft and related 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.