The Prove7 Endpoint Multi-Agent Container is a signed, hardened runtime — native desktop app or container — that runs your governed AI agents where the work is, under the same Seven-Gates governance as the cloud.
The container runs where the work is; the control plane stays wherever you deploy it — Prove7 Cloud or your own estate. No model keys, no raw secrets, no ungoverned path on the device.
Endpoint AI security products put a sensor on the device to watch people using AI. Prove7 puts a governed workforce on the device: agents with identities, skills, autonomy levels, and a live trust grade — executing real work under policy.
Analyst and operations work in banks, insurers, and healthcare — agents act locally, evidence seals centrally.
Sites with intermittent connectivity keep working offline; the sealed record syncs when the link returns.
Work happens where the data lives. Pair with self-hosted Control Vector for a fully in-estate deployment.
Endpoint AI security agents are sensors: they intercept and inspect what people type into AI tools. The Prove7 Endpoint Multi-Agent Container is a runtime: it executes governed AI agents on the device, with machine identity, fail-closed policy checks before every skill, a kill switch, and every action sealed to the platform’s hash-chained audit record.
Yes. In offline local-operator mode the container serves a loopback-only local session so permitted work continues when the platform is unreachable. When a platform is configured and reachable, SSO and full platform governance always take over.
No. Inference is platform-managed: the container routes model calls through Prove7’s Inference Control, so no provider API keys sit on the device.
If you’re the one who answers when the machine acts — a CISO, a CFO, a COO — watch Prove7 Control Vector™ take an agent from discovered to governed to proven, live.
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