Solutions

Find the runtime defence
that fits your environment.

Whether you are mapping AI EdgeLabs against a specific platform feature, an operational use case, a maturity stage, or a regulated industry — every path leads to the same answer: one lightweight runtime agent, deployed on the host, defending workloads, networks and AI agents in real time. Pick the lens that matches how you buy security.

Why one platform

Different lens. Same agent. Same outcome.

CISOs reach AI EdgeLabs from very different starting points — a ransomware near-miss, an upcoming NIS2 audit, a GPU cloud rolling out new tenants, a smart-city pilot with a thousand new edge nodes. The path is different. What gets deployed is the same: a single lightweight container that turns every host into its own defender, with kernel-level visibility and sub-millisecond response — online or air-gapped.

One container, full coverage

Network, workload, vulnerability, AI/agent, and compliance — delivered by one agent on each host. No tool sprawl, no per-workload licensing, < 4% CPU overhead per node.

No cloud dependency

All AI/ML inference runs locally on the host. Detection and response work fully offline — designed for sovereign, air-gapped, and intermittently connected environments where cloud-only tools simply cannot operate.

Audit-ready out of the box

Built-in mappings to NIS2, EU CRA, ISO/IEC 62443, HIPAA, PCI DSS, FedRAMP, and NIST. Continuous evidence collection, host-level checks, and exportable reports — no separate GRC tool required.

Not sure which path fits? Talk to a security architect.

Twenty minutes is enough to map your environment, regulatory pressure, and risk profile to the right configuration of the platform — and the right pilot.