Darkhunt AI Security vs OpenSecureAI Scanner
Darkhunt AI Security
darkhunt.aiOpenSecureAI Scanner
opensecureai.comSide by side
| Figure | Darkhunt AI Security | OpenSecureAI Scanner |
|---|---|---|
| Price from | Free | $49/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · AI Red Teaming Tools | 7.9 (#8) | 9.0 (#2) |
| Integrations | The site lists OpenAI, Anthropic, Azure, AWS Bedrock, Gemini, and self-hosted systems, and says it offers pre-built integrations for agent frameworks, model providers, SIEM, and cloud platforms. | The LLM Gateway can forward prompts to a selected OpenAI, Anthropic, xAI, or Groq provider/model and scan the response. |
| Observability | It logs, replays, and makes searchable agent prompts, responses, and tool calls. | LLM Observability aggregates injection attempts, blocks and anomalies from API events while instructing users to send labels and metadata instead of raw prompts or responses. |
| Purpose | Darkhunt continuously tests, monitors, and protects AI agents in production. | 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
Darkhunt AI Security
- FreeFree
- Custom AnnualPrice not published
- Pay as you goPriced on request
In their own words
Darkhunt AI Security
Darkhunt AI Security continuously tests, monitors, and protects AI agents in production. It discovers models, agents, and MCP servers across SaaS, cloud, endpoints, and code, including sanctioned and shadow AI. Its observability tools log and replay activity, making agent prompts, responses, and tool calls searchable. Automated red teaming tests agents with their actual tools, permissions, and data access for prompt injection, jailbreaks, and data exfiltration. The platform also checks decision integrity, including manipulated figures, suppressed alerts, RAG poisoning, and confident hallucinations, and traces answers to source data points. Findings can become inline runtime policies, while an MCP gateway proxies requests and responses. Listed integrations include OpenAI, Anthropic, Azure, AWS Bedrock, Gemini, and self-hosted systems. Deployment options are cloud, hybrid, and self-hosted. Findings or controls can map to several named frameworks, including the EU AI Act and NIST AI RMF. The free plan costs nothing and includes full platform access, a free credit allotment, and community support. Paid options have unlisted prices.
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.