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    Wallarm AI Hypervisor: Runtime Governance for LLMs, Agents & MCP

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    Sold by: Wallarm 
    Deployed on AWS
    Wallarm AI Hypervisor is the runtime governance layer for every LLM call, agent action, and MCP tool invocation running in AWS. Deploy and within minutes every outbound AI call is captured in-kernel and attributed to the originating end-user across every service hop. Built on patented non-invasive memory analysis, AIH covers AI interactions without requiring a single application code change. Review the prompt that produced a bad answer. Block a session in real time without restarting pods. Prove to auditors what data left for which model provider, on whose behalf. Recognizes Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, Hugging Face, Together, and more than 11 others out of the box. Part of the Wallarm AI Control Platform.
    4.7

    Overview

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    Wallarm AI Hypervisor is the runtime governance layer for AI workloads running in Kubernetes, and the Observe, Enforce, and Govern engine of the Wallarm AI Control Loop. Where Infrastructure Discovery maps your AWS estate, AI Hypervisor watches what your AI is actually doing: every LLM call, agent action, and MCP tool invocation, attributed to the user who triggered it, with enforcement and audit evidence built in.

    KNOW WHAT AI IS RUNNING

    Stop discovering model providers by reading commit messages and auditing cloud bills. AI Hypervisor gives you a live inventory of every LLM provider, agent, MCP server, and tool your applications are actually using, updated continuously from real traffic. Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, Hugging Face, Together, and over 11 others recognized out of the box. Shadow AI surfaces next to the AI you officially approved.

    KNOW WHO TRIGGERED IT

    When a model returns something wrong, leaks something it shouldn't, or runs up a surprise bill, you need to know which end-user caused it. AI Hypervisor attributes every model call, agent step, and tool invocation back to the originating end-user across every internal service hop. Replay the exact prompt that produced a bad answer. Attribute LLM costs to individual users and teams. Reconstruct an AI-related incident timeline in minutes instead of days.

    STOP THE BAD ONES IN REAL TIME

    A misbehaving session should not wait for the next deploy. Block a session, revoke a user, or stop a pattern instantly. No pod restart. No deploy cycle. No disruption to the workloads sharing the cluster. Enforcement is opt-in per namespace so platform teams can roll out one tenant at a time, while security gets a working off-switch for the rest of the estate.

    PROVE IT TO AUDITORS

    Whether the next conversation is EU AI Act review, SOC 2, an internal audit, or a customer security questionnaire, the evidence is already built. A current inventory of providers and tools, PII flow records traced from origin to model, an AI supply chain inventory with CVE enrichment, and full session replay. Compliance comes out of the same console your on-call team uses, not from spreadsheets assembled the week before.

    ONE INSTALL COVERS EVERY RUNTIME

    AI Hypervisor covers Python, Node, Go, Rust, Java, and Ruby workloads in the same view, without application code changes, without an SDK to adopt, and without a per-language tool to operate. It supplements your existing APM, log pipeline, and SIEM rather than replacing them, ships connectors to the SOC tools you already run, and lives inside your own Kubernetes clusters.

    WHO IT'S FOR

    Highlights

    • Stop discovering model providers from commit messages and cloud bills. AI Hypervisor gives you a live inventory of every LLM provider, agent, MCP server, and tool your applications are actually using, updated continuously from real traffic. Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, Hugging Face, Together, and more than 11 others are recognized out of the box. Shadow AI surfaces next to the AI you officially approved. The side projects and vendor trials show up too.
    • When a model returns something wrong, leaks something it shouldn't, or runs up a surprise bill, you need to know which end-user caused it. AI Hypervisor attributes every model call, agent step, and tool invocation back to the originating end-user across every service hop. Replay the exact prompt that produced a bad answer. Attribute LLM costs by user and by team. Coverage spans Python, Node, Go, Rust, Java, and Ruby in a single view.
    • A misbehaving session shouldn't wait for the next deploy. Block a user, kill a session, or stop a traffic pattern instantly. No pod restart. No change management ticket. No disruption to the workloads sharing the cluster. Enforcement is opt-in per namespace, so platform teams can roll out one tenant at a time while security gets a working off-switch for the rest of the estate. Built for production where downtime isn't an option.

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    Pricing

    Wallarm AI Hypervisor: Runtime Governance for LLMs, Agents & MCP

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (4)

     Info
    Dimension
    Description
    Cost/12 months
    Starter Tier - AIH
    Licensed for up to 500 vCPUs per month of monitored Kubernetes, with a capacity attribute of up to 2B requests per month (RPM). Actual vCPU and RPM use is measured at the 95th percentile of the maximum used values over a rolling 30 day window. Step-up to Enterprise Tier AIH is required if vCPU or RPM counts exceed the capacity for two consecutive months. AIH is a private-offer only listing.
    $75,000.00
    Enterprise Tier - AIH
    Licensed for up to 2,000 vCPUs per month of monitored Kubernetes, with a capacity attribute of up to 6B requests per month (RPM). Actual vCPU and RPM use is measured at the 95th percentile of the maximum used values over a rolling 30 day window. Step-up to Enterprise+ Tier AIH is required if vCPU or RPM counts exceed the capacity for two consecutive months. AIH is a private-offer only listing.
    $250,000.00
    Enterprise+ Tier - AIH
    Licensed for up to 5,000 vCPUs per month of monitored Kubernetes, with a capacity attribute of up to 15B requests per month (RPM). Actual vCPU and RPM use is measured at the 95th percentile of the maximum used values over a rolling 30 day window. Step-up to a Strategic Tier AIH is required if vCPU or RPM counts exceed the capacity for two consecutive months. AIH is a private-offer only listing.
    $500,000.00
    Strategic Tier - AIH
    Licenses above 5,000 vCPUs per month of monitored Kubernetes, and a capacity attribute over 15B requests per month (RPM) is a Strategic Tier requiring a private offer. Please contact Wallarm or a Wallarm partner.
    $1,000,000.00

    AI Insights

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    Dimensions summary

    You buy AI Hypervisor through four contract tiers scaled by capacity. Each tier licenses a set number of monitored Kubernetes vCPUs per month and a matching request-per-month (RPM) ceiling. Starter, Enterprise, and Enterprise+ raise both limits at each step. Strategic covers usage above the Enterprise+ ceilings. Wallarm measures your actual vCPU and RPM use at the 95th percentile over a rolling 30-day window. If you exceed a tier's capacity for two consecutive months, you step up to the next tier. All tiers are private-offer only.

    Top-of-mind questions for buyers

    A monitored vCPU is a processing unit in your Kubernetes cluster that AI Hypervisor instruments at the kernel. It deploys as a DaemonSet on your EKS or other Kubernetes clusters and monitors labeled pods. Your tier's vCPU limit reflects the total processing capacity being watched.
    You step up to the next tier if either your vCPU count or requests per month exceeds the capacity for two consecutive months. Wallarm measures your actual use at the 95th percentile over a rolling 30-day window, so brief spikes do not force a step-up.
    Either one can. Each tier caps both monitored vCPUs and requests per month (RPM). If you exceed either ceiling for two consecutive months, you move up a tier. The metric you hit first triggers the change; you do not need to exceed both.
    www.wallarm.com
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    Vendor refund policy

    AI Hypervisor is sold through annual private offers on AWS Marketplace. Contract terms, including renewal, step-up, and step-down mechanics, are defined in the executed private offer. Step-up tier movement is required when Licensed Capacity or RPM exceeds the contracted cap for two consecutive 30-day measurement periods. Step-down to a lower tier is permitted under the same measurements, never below the minimum commitment floor. No refunds are issued for capacity below the contracted tier.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    24/7 Global Support

    support@wallarm.com 

    For questions about Wallarm product offerings or capabilities (pre-purchase), please contact our specialist team at the following email: productquestions@wallarm.com 

    Free API Security Certification: https://www.wallarm.com/api-security-certification 

    support@wallarm.com 

    Documentation:

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Customer reviews

    Ratings and reviews

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    4.7
    97 ratings
    5 star
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    1 star
    87%
    11%
    2%
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    0 AWS reviews
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    97 external reviews
    External reviews are from G2 .
    Revell B.

    Revolutionized Our API Security, Peace of Mind Restored

    Reviewed on Jul 14, 2026
    Review provided by G2
    What do you like best about the product?
    I started using the Wallarm API Security Platform and immediately saw how bad my security issues were, with known attackers targeting my most sensitive endpoints. But once I set up Wallarm protections, the problematic traffic calmed down, to the point where I had my first attack-free day within a week. It also allowed me to dial back on Cloudflare WAF rules, which used to cause more issues than they solved. By managing security through Wallarm, I no longer have to spend time dealing with emails from confused users due to overly broad Cloudflare rules. Announcing that Wallarm was handling my security gave my users confidence because of its strong reputation. Wallarm has truly saved my business and given me my life back by allowing normal sleep and work hours again.
    What do you dislike about the product?
    I had some trouble setting up inline Security Edge at first because Cloudflare was already proxying my traffic, and I think I just got the order wrong. While it's working great now, at first I wasn't 100% sure I set up inline correctly. Most of my confusion happened with Cloudflare's DNS settings. It was also a little scary doing this in the middle of the night to avoid interrupting user flows, which added some pressure. The setup was complicated only due to Cloudflare and not a Wallarm issue, and every step on the Wallarm side was easy and intuitive.
    What problems is the product solving and how is that benefiting you?
    I use Wallarm API Security Platform to protect my API endpoints against attackers. It calmed down malicious traffic, stopped attacks, and solved my security issues. Wallarm saved my business and personal time by providing efficient security, allowing me to reduce dependency on Cloudflare and avoid user complaints.
    Adesh R.

    Accurate Real-Time API Threat Detection with Minimal False Positives

    Reviewed on Jan 02, 2026
    Review provided by G2
    What do you like best about the product?
    It provides accurate, real-time API threat detection with very few false positives.
    What do you dislike about the product?
    The platform's configuration and tuning process can be quite complex and time-consuming, especially for new users.
    What problems is the product solving and how is that benefiting you?
    It protects APIs and web applications from modern attacks, including those listed in the OWASP Top 10 and zero-day threats.
    Alexander S.

    API threat prevention

    Reviewed on Jan 03, 2025
    Review provided by G2
    What do you like best about the product?
    As a tech entrepreneur, I appreciate how simple integration is, and API threat prevention is what I like mostly.
    What do you dislike about the product?
    No configuration for dashboard; require demo call.
    What problems is the product solving and how is that benefiting you?
    It helps safeguard my APIs by enhancing risk management and security visibility
    Aziz T.

    Secure , comprehensive customizable

    Reviewed on Oct 24, 2024
    Review provided by G2
    What do you like best about the product?
    Wallarm API Security Platform provides robust protection for APIs with real-time threat detection, minimizing false positives . Especially secure against the top 10 OWASP
    What do you dislike about the product?
    API threat detection , the pricing is undisclosed in the fee trial
    What problems is the product solving and how is that benefiting you?
    Top 10 OWASP
    Information Technology and Services

    Easy to understand and implement

    Reviewed on Oct 24, 2024
    Review provided by G2
    What do you like best about the product?
    As a developer, it's very easy to implement and the documentation it's easy to implement.
    What do you dislike about the product?
    That you have to book a demo to try it out.
    What problems is the product solving and how is that benefiting you?
    Helps me to protect my APIs, risk management and security dicovery.
    View all reviews