Protect every layer
your AI touches
Three depths of runtime defence powered by lightweight ML classifiers. 100% local processing. Zero data transit. Sub-millisecond decisions.
Three layers. One engine.
Runtime protection at every layer of the stack. The same detection engine runs at network perimeter, host infrastructure, and inside your application code.
See threats as they happen
Real-time enforcement across every AI interaction. Block, flag, or log—your policy, your infrastructure.
Five engines. One verdict.
Purpose-built detection for each threat domain. Running as ONNX on-device, voting together with configurable weights.
Research-powered detection
Original threat research feeds directly into detection signatures. Every advisory, every technique mapping, every new signature makes the platform stronger.
Monthly Threat Landscape Report
Data-driven analysis of AI threat patterns, attack techniques, and emerging vectors across the RAXE detection network.
The complete runtime platform
| Capability | Gateway-Only | SDK Scanners | Cloud Inspection | RAXE |
|---|---|---|---|---|
| AI traffic governance | Yes | No | Partial | Yes |
| Runtime execution visibility | No | Partial | No | Yes |
| Local-first (no data transit) | No | Yes | No | Yes |
| Infrastructure deployment | No | No | No | Yes |
| Original threat research | No | No | No | Yes |
| Independent vendor | Varies | Varies | No | Yes |