RAXE Sensor

Secure AI execution

A lightweight runtime sensor that observes and enforces security policy where AI workloads actually execute. 30MB. Sub-millisecond. Fail-open by design.

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Sensor Modes

Choose your deployment profile

Recommended

Light Mode

30MB

<0.15ms detection latency

Pattern matching and structural detection. Minimal resource footprint for high-throughput environments.

Full Mode

5 Classifiers

Complete detection engine

All five ONNX classifiers including ML inference for ambiguous cases. Maximum detection accuracy.

Relay Mode

Audit

Log-only, zero blocking

Observe and log without enforcement. Ideal for shadow AI discovery and initial deployment.

Deployment

Production-ready from day one

Pattern Use Case Coverage
K8s DaemonSet [host] Cluster-wide AI workload protection Full cluster
Docker Sidecar [host] Per-pod deployment alongside AI services Per pod
Systemd Service [host] Standalone host agent for VM-based infra Per host
Embedded Library [sdk] In-application integration via Python SDK Per app
Reliability Guarantee
Fail-open by design. The Sensor uses a 3-state supervisor that guarantees traffic continuity even if the detection engine encounters an error. Your AI workloads never stop because of a security component failure.

Deploy Sensor in your infrastructure

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