| What it does | Open-source AI security verification
| Prompt injection protection for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| GB
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| Pricing model | Open source
| Freemium
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| Pricing | Not given
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| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - Scans tool output, documents, web pages and email
- Multi-layered detection cascade with heuristics and deeper analysis
- Policy Studio for rule management and versioning
- Evidence and investigation tools showing detector signals and matched spans
- SIEM export to Splunk, QRadar, Sentinel and Elastic
- Python and TypeScript SDKs
- HTTP API and webhook support
- Mandatory two-factor authentication
- Knowledge bucket scanning for RAG pipelines
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| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - Same detection quality across all plans—no features held back at lower tiers
- Transparent benchmarking with published methodology and confidence intervals
- Model-agnostic, provider-agnostic architecture works with any AI model or framework
- In-process detection with 23 ms median latency on default engine
- Free tier with 5 million characters per month, no card required
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 2 | 0 |
| Citation Flow (Majestic) | 21 | 0 |
| Referring domains (Majestic) | 22 | 0 |