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See Wallarm's API Protection In Action
Talk to an Expert
Kernel-Level AI Observability
AI Hypervisor.
AI Hypervisor is the runtime enforcement layer for enterprise AI agents. See every decision your agents make, every data boundary they cross, every external call they initiate, and block the ones that violate policy. Kernel-level eBPF instrumentation.
No code changes, no sidecars, no performance hit. Deploy as a DaemonSet in minutes on EKS or any Kubernetes cluster.
No code changes, no sidecars, no performance hit. Deploy as a DaemonSet in minutes on EKS or any Kubernetes cluster.
eBPF · PATENTed TEchnology
EKS DaemonSet
Zero code changes
Trusted By
The world's most demanding teams run on Wallarm.
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The Problem
Your AI agents are making
decisions you can't see.
Your engineers call Anthropic, OpenAI, Bedrock, and a dozen more providers from production. Your existing tools see none of it.
What your stack sees
WAF
Headers
APM
Latency
SIEM
Logs
What it misses
X
The prompt
X
The payload
X
The traffic
Blind spot · AI runtime
01
87%
of security leaders identify AI-related vulnerabilities as the fastest-growing cyber risk.
Source: WEF Global Cybersecurity Outlook 2026
02
80%
of organizations have experienced a data incident involving generative AI.
Source: Wallarm 2026 AI Security Report
The Solution
Part of the AI Control Loop
See it. Block it. Prove it.
You see every AI decision, every outbound call, every piece of sensitive data in motion. And you can stop any of it inline. AI Hypervisor deploys as a Kubernetes DaemonSet on EKS and instruments every labeled pod at the kernel using patented eBPF analysis.
1
Discover
Auto-discover shadow AI
Find every model provider, MCP tool, and agent framework running in your cluster, including the ones nobody approved.
2
Observe
Map Every AI Interaction
See every model call, tool invocation, and outbound connection from your AI workloads on EKS, attributed to the user that triggered it.
3
Enforce
Stop Any Session Inline
Block, rate-limit, or revoke a session live by JWT subject or trace ID. Kernel-level. No pod restart, no deploy cycle.
4
Govern
Generate compliance evidence
Continuous AI-SBOM, session audit logs, and EU AI Act article mapping. Audit-ready every day, not the week before the audit.
AWS Security Competency
How AI Hypervisor
and AWS work together.
AWS provides the infrastructure. Wallarm adds the runtime behavioral layer GuardDuty, IAM Access Analyzer, and Security Hub were never designed to see.
Security Competency
Application Security
Marketplace
Available now · Private offers & co-sell
FAQ
Frequently asked questions
How is AI Hypervisor different from AWS Bedrock Guardrails?
Bedrock Guardrails only sees calls to Bedrock. AI Hypervisor sees every provider, every framework, every MCP tool — at the kernel — and works across providers.
Does AI Hypervisor require code changes to my application?
No. Kernel-level eBPF instrumentation. Zero code changes, zero SDK, zero sidecars.
How long does AI Hypervisor take to deploy on EKS?
Helm install. Minutes per cluster.
What model providers does AI Hypervisor cover?
Anthropic, OpenAI, Bedrock, Vertex, and every major provider — including frameworks like LangChain, LlamaIndex, and custom MCP servers.
Can AI Hypervisor block AI requests in real time, or only detect them?
Both. Block, quarantine, or revoke a session live by JWT subject or trace ID. Kernel-level enforcement.
How does AI Hypervisor help with EU AI Act compliance?
Continuous AI inventory, session audit logs, and article-level mapping. Audit-ready every day, not the week before.
The AI Control Loop
Discover. Observe. Enforce. Govern.
AI Hypervisor is the Observe and Enforce layer of the AI Control Loop. What it sees shapes what gets blocked. What gets blocked generates the evidence that feeds Govern. Not a standalone tool — a continuous loop, on one platform.
Ready to see Wallarm
in action?
Get a personalized demo and see what your AI agents are actually doing at runtime.