Agentic Security
Secure Isolation for Agentic AI Workloads
AI agents need to install packages, execute arbitrary code, and operate as root, all inside your Kubernetes cluster. Give them the freedom to act without giving them the keys to the kingdom.
The Problem
Agents Break the Kubernetes Trust Model
Kubernetes security assumes workloads are predictable. AI agents aren’t. An agentic workflow may need to:
- Execute arbitrary, untrusted code generated at inference time
- Install system packages and dependencies on the fly
- Operate with root-level privileges inside the container
- Bind to privileged ports, modify filesystem state, spawn child processes
Platform teams face an impossible choice:
Give agents the access they need and accept the blast radius, or lock them down and break the workflow.
Powered by vNode
Kernel-Native Isolation, Purpose-Built for Agents
Linux kernel-native primitives create a complete identity boundary between the agent and the host. No VMs. No syscall interception. No performance tax.
Agents need root. The host doesn’t give it to them.
Root inside the container (UID 0) maps to an unprivileged user on the host (UID 100000+). The agent believes it’s root. The kernel knows it isn’t.
Agents can’t see each other.
Each workload gets its own PID namespace, network stack, and mount table. Structural isolation: no RBAC rules to misconfigure, no network policies to forget.
Agents need dangerous capabilities. The host doesn’t flinch.
Agents can hold CAP_NET_ADMIN, CAP_SYS_PTRACE, and other privileged capabilities within their namespace, without those capabilities ever applying to the host.
Agents need GPUs. Without a virtualization layer in the way.
Device access passes through directly, delivering bare-metal GPU performance with full isolation. No hypervisor, no driver headaches, no emulation overhead.
Why vNode Wins
Kernel-Native Isolation vs. the Alternatives
VM-based and syscall-interception approaches force a tradeoff between isolation and performance. Kernel-native namespace isolation doesn’t.
vNode
User Namespaces
Kata Containers
Micro-VMs
gVisor
Seccomp Filtering
Sysbox
User Namespaces
Low Overhead
Fast Startup Time
Low Performance Impact
High Tenant Autonomy
Broad Workload Flexibility
High Security Strength
High Networking Isolation
Storage Isolation
Direct GPU Access
Low Failure Blast Radius
Kubernetes Native
Ease of Use
Commercial Support
We Tested It: Security
Container escapes, UID bypass attempts, cross-namespace access, privilege escalation. Third-party tested. We’re publishing the results because isolation should require proof, not trust.
Read the pen test report
Cure53 Independent Security Assessment
September 2025 · 30 days · 7 senior researchers
“Cure53 was unable to identify any container escapes during the assessment, therefore the security posture of vNode can be described as impressive.”
Cure53
Globally recognized cybersecurity firm
Globally recognized cybersecurity firm
Read full report
Use Cases
Built for the Workloads That Keep Platform Teams Up at Night
Use Case 01
Code Execution Sandboxes
Each session generates and executes arbitrary code, installs packages, writes to disk, spawns processes, and needs to be fully isolated from every other session. Kernel-native isolation gives each sandbox a complete private Linux environment with no performance penalty.
Use Case 02
Agent Platforms with Tenant Isolation
Run thousands of concurrent agent sessions for different customers on shared infrastructure. UID remapping ensures an escaped container lands in an unprivileged context with no access to other tenants’ processes, files, or network.
Use Case 03
Autonomous Tool-Use Agents
Agents invoking browsers, CLI tools, and database clients need broad system access. Capability scoping lets them hold privileged Linux capabilities within their namespace, without leaking outside it.
Use Case 04
GPU-Accelerated Agent Inference
Direct GPU passthrough at native performance: no VM layer, no device emulation, no driver compatibility issues. Isolation that doesn’t slow down inference.
Security Assessment, Summary of Results
“Together, these findings confirm that vNode delivers strong, lightweight isolation on bare metal and GPU infrastructure, preventing container breakouts without the need for VMs or hypervisors.”
Cure53
Globally recognized cybersecurity firm
Globally recognized cybersecurity firm
Your Agents Need Root. Your Cluster Doesn’t Have to Suffer.
Isolated, high-performance agentic workloads on Kubernetes. No VMs. No syscall interception. No compromise.
