Confidential Computing Explained

Edera is a container-native Type-1 hypervisor that eliminates the trade-off between container security and performance. It isolates every workload in its own lightweight “zone,” preventing container escapes by design while maintaining near-native speed and full Kubernetes compatibility.

Traditional containers share the same Linux kernel, which creates risk of container escapes and lateral movement. Edera replaces that shared foundation with per-container micro-VMs, providing complete workload isolation. This design blocks privilege-escalation attacks and zero-days that exploit the kernel — without needing new tooling or specialized hardware.

Absolutely. Edera provides GPU workload isolation that prevents data leakage between tenants and protects against GPU driver vulnerabilities — critical for secure AI training and inference at scale.

Yes. Edera complements confidential computing models by providing strong software-based isolation that doesn’t depend on proprietary hardware. It helps organizations meet zero-trust and compliance requirements for sectors like finance, healthcare, and government.

Edera is built for platform engineering and security teams running large Kubernetes or AI infrastructures. Enterprises adopt it to enable secure multi-tenancy, reduce infrastructure costs, and achieve security without sacrifice – whether on-prem, in public cloud, or at the edge.