| What it does | Prompt injection protection for AI agents
| An API that verifies each RAG response against its sources
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| Stage | Not given
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| Founded | Not given
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| Based in | GB
| FR
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Not given
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| Key features | - 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
| - Response verification against source documents
- Confidence levels: certain, probable, or I don't know
- Nightly automatic improvements with proof
- REST API with coming Python and TypeScript SDKs
- LangChain and LlamaIndex integration support
- MCP server integration option
- Data hosted in Paris, Europe
- Full verification in French and English
- Graceful degradation if API fails
- User data never used for AI training
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| What makes it different | - 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
| - Honest "I don't know" instead of hallucinated answers
- Proven improvements: 31 out of 32 correct on sealed test set
- Drops in after your existing RAG: one API call only
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 0 |
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| Referring domains (Majestic) | 0 | 0 |
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Tawa Guard
WYRLO