Secure inference,
models and training
as they run

Stealthium makes the GPUs, runtimes and frameworks your AI depends on observable, secure and controllable. In real time, from the silicon to the workloads.

Built with the AI infrastructure ecosystem

Vultr
NVIDIA Inception Program
Rafay
Tenstorrent
Canopy

What can you really see as your AI runs?

Visibility for your AI runtime needs to be more than utilization.Security starts with understanding, in real time, what’s executing, who launched it and who’s sharing your AI infrastructure.When utilization metrics are all your team has, how would you know you’re under attack?

See Stealthium in action

One agent: secure your AI runtime stack

Observe stage diagram

Every event attributed

Each GPU event is resolved to the process, container, pod, namespace and node behind it. On its own, the GPU has no idea which container is talking to it. Stealthium does.

Deep GPU telemetry

Signals include SM and tensor activity, DRAM bandwidth, kernel launch rate, UVM allocation and eviction, per-link NVLink health, ECC, thermals and power.

Tenancy topology

See which MIG instances sit on which card, which processes hold contexts on which devices, and who can reach whom.

Waste surfaced

Find GPUs that are held but idle, jobs that never end and workloads nobody approved, per container and per GPU.

Make your AI runtime
observable, secure and controllable

For AI teams and the GPU clouds they run on

Get AI through the security review with evidence

Infrastructure, security and audit each need an answer before a pilot reaches production.
Stealthium gives all three the same runtime record of what ran on the GPU.

Isolation provenCompare the isolation you configured with what actually executed on the hardware.
Spend accounted forFind GPUs held but idle, jobs that never end and workloads nobody approved.
Into the SOC you already runDetections route to your SIEM with the container, pod and tenant attached.
Enterprise AI team diagram: server isolation compared with what executed, idle GPU spend highlighted and detections routed to the SOC

Start securing your AI runtime stack today

Runtime security begins with seamless deployment.

Found first, providing protection first

Our researchers hunt for vulnerabilities in accelerator drivers, popular AI toolsets and open-source frameworks.
We disclose to the vendor and ship detections to customers before a CVE is published or patch provided.

25+

Critical and High AI stack vulnerabilities found by Stealthium. Customers have detections for every one of them.

NvRoot (CVE-2026-47591) and ForgePtr (CVE-2026-47501) were patched by NVIDIA on 30 September 2026.
Stealthium customers had detections before either CVE was published.

Why our research matters

AI is only as secure
as the layer it runs on

See what is running on your GPUs, and stop what shouldn’t be.