Autonomous AI Agents | Secure VM Hosting | V2 Cloud

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Deploy Autonomous AI Agents in Secured Virtual Machines

Your AI agents need the same infrastructure you give your employees, dedicated compute, strict access controls, and full audit trails. V2 Cloud hosts each autonomous agent inside an isolated VM with configurable user privileges, endpoint protection via SentinelOne, and prompt injection defense. Add an AI agent to your organization the same way you’d onboard a new hire. Monitor its screen, read its reasoning logs, and schedule its tasks, all from the admin dashboard you already know.

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V2 Cloud dashboard

The Hiring Metaphor, Made Real

Add an AI Agent Like You'd Onboard a New Employee

When a new person joins your company, you provision a workstation. You set up credentials, define what they can and can’t access, install the software they need, and connect them to your network, with appropriate restrictions. An autonomou AI agent deserves that same rigor.

V2 Cloud’s AI agent provisioning works through the same IT Management Console administrators already use for human users. Select “Add AI Agent” instead of “Add User,” configure the VM specifications (CPU, RAM, storage), assign a privilege tier, and deploy. The agent receives its own isolated virtual machine, a sandboxed workspace where it operates under the exact permission model you define. No shared resources with production desktops. No risk of cross-contamination between agents or between an agent and your employees’ data.

The analogy runs deeper than provisioning. Just as you’d never give a new hire unrestricted admin access on day one, V2 Cloud enforces principle-of-least-privilege at the VM level. Agents can be scoped to specific directories, applications, network segments, and API endpoints. If an agent only needs to read spreadsheets and post to Slack, that’s all it gets. Elevate permissions when trust is earned, not before.

See Everything Your Agents Do

Live Screen Viewing

Open any agent’s VM screen directly from the admin dashboard. Watch it navigate applications, execute commands, and interact with data in real time, the same way you’d glance over a colleague’s shoulder, except with a full recording trail. Every session is logged with timestamps.

Thinking Logs and Reasoning Traces

Screen recordings alone are not enough to audit an AI agent. V2 Cloud captures the agent’s internal reasoning, the chain-of-thought logs, tool-use decisions, and planning steps that led to each action. When an agent modifies a database record or sends an email, you can trace the exact logic path that produced that decision.

Chat, Command, and Cron Scheduling

Interact with your AI agent through a built-in chat interface, send instructions, ask for status updates, or override a running task. For recurring workflows, configure cron-style schedules directly from the dashboard: run a competitor price scrape every 6 hours, generate a report each Monday at 7 AM, or trigger a data pipeline on file arrival.

Comprehensive Audit Logs

Every file access, network request, process execution, and privilege escalation attempt inside the agent’s VM is recorded. Logs are stored separately from the agent’s environment and are immutable, the agent cannot alter its own audit trail. Export to your SIEM, or use V2 Cloud’s built-in SIEM monitoring for correlation and alerting.

Looking to host your own agents today?

Try OpenClaw on V2 Cloud

While our fully autonomous AI platform is in development, you can start hosting and managing your own agents today. V2 Cloud provides a secure, high-performance environment specifically optimized for OpenClaw. Get the dedicated infrastructure you need to run 24/7 autonomous workflows with full shell and file system access.

Security Architecture

Enterprise-Grade Security Built Around Every Agent

Autonomous AI agents introduce a new class of attack surface. A compromised agent with broad system access can do more damage than a compromised user, faster, and without hesitation. V2 Cloud treats every agent VM as an untrusted workload by default, then layers defense-in-depth from the hypervisor up.

SentinelOne Endpoint Protection

Prompt Injection Defense

Configurable Permissions and Network Segmentation

SentinelOne Endpoint Protection

Each agent VM runs SentinelOne’s autonomous endpoint detection and response (EDR) agent. It monitors process behavior in real time, detects anomalous patterns, such as an AI agent suddenly attempting to exfiltrate data or escalate privileges, and can quarantine threats without waiting for human intervention. EDR on AI agents matters because their behavior patterns differ from human users, and SentinelOne’s behavioral analysis adapts accordingly.

Learn about Advanced Security Pack

Prompt Injection Defense

Prompt injection is the SQL injection of the AI era: attackers embed malicious instructions inside data the agent processes, emails, web pages, documents, hoping to hijack its behavior. V2 Cloud deploys input sanitization layers, output validation gates, and runtime behavior monitoring that flags actions inconsistent with the agent’s defined task scope. If an agent’s behavior deviates from its baseline, the system can pause execution and alert the administrator before any action completes.

Configurable Permissions and Network Segmentation

Agent VMs operate within isolated network segments. By default, they have no access to other VMs, employee desktops, or internal systems. Administrators grant explicit access to specific resources, a database endpoint, a file share, an API gateway, through a policy engine. Network traffic between the agent and approved resources is encrypted via TLS 1.2+. Lateral movement, even from a compromised agent, is blocked at the hypervisor level.

Data Protection

Automated Backups, Snapshots, and Disaster Recovery

An AI agent that processes data 24/7 generates state that matters. Configuration files, trained models, intermediate outputs, database connections, cached context, losing any of it means hours of reconstruction. V2 Cloud protects agent VMs with the same backup and disaster recovery infrastructure that protects your employee desktops.

Daily automated snapshots capture the complete VM state: operating system, installed frameworks, agent configuration, and working data. Need to roll back after a bad deployment or a corrupted model update? Restore to any snapshot within seconds. Point-in-time recovery means an agent that was compromised at 3 PM can be restored to its 2 AM state, losing hours of work instead of days of setup.

For mission-critical agents, those handling financial data processing, compliance workflows, or customer-facing automation, administrators can increase snapshot frequency to hourly or even configure continuous data protection. Each snapshot is stored in a geographically separate data center from the agent’s primary VM, protecting against regional outages.

CapabilityV2 Cloud AI Agent VMsLocal MachineGeneric Cloud VM (DIY)
24/7 Uninterrupted Operation
VM-Level Isolation per Agent—
SentinelOne EDR Pre-installed
Prompt Injection Defense
Live Screen Viewing from Dashboard——
Thinking Logs & Reasoning Traces
Automated Daily Snapshots—
Cron Job Scheduling via Dashboard——
Configurable User Privilege Tiers—
Managed by Same Console as Human Users

From Hiring Humans to Deploying Your AI Agents in 4 Steps

Same Console, Same Workflow

1

Define the Agent's Role

Specify what this agent will do: data processing, web research, document generation, customer support triage, or a custom workflow. Select a VM size based on workload requirements, CPU cores, RAM allocation, and storage. Think of it as writing a job description and specifying the hardware a new employee would need.

2

Configure Privileges and Access

Set the permission tier: which directories the agent can read and write, which network endpoints it can reach, which APIs it may call, and whether it has outbound internet access. Define escalation rules, what happens when the agent requests access beyond its current scope. This is the equivalent of setting up AD group memberships for a new hire.

3

Deploy and Connect

Click deploy. V2 Cloud provisions an isolated VM, installs SentinelOne, applies your security policies, and boots the agent’s runtime environment. The agent appears in your IT Management Console alongside your human users. Total deployment time: under 20 minutes.

4

Monitor, Schedule, and Iterate

Watch the agent work via live screen viewing. Review its thinking logs. Set up scheduled tasks through the cron interface. Chat with the agent to adjust parameters or redirect its focus. As you build trust, adjust permissions upward, the same way you’d expand a new employee’s responsibilities after their first quarter.

24/7 Operation Without Your Laptop

An AI agent running on your local machine stops the moment you close the lid. That price monitoring bot goes dark at 11 PM. Your data pipeline stalls during your commute. V2 Cloud VMs run in enterprise data centers with redundant power, cooling, and connectivity, backed by a 99.95% uptime SLA. Your agents work through the weekend without consuming a single CPU cycle on your personal hardware. Development stays local; production runs on infrastructure built for persistence.

View Data Center Locations

Scales with Your AI Workforce

One agent today. Twelve by next quarter. Vertical scaling is straightforward: upgrade an agent’s VM specs from the dashboard without redeployment. Horizontal scaling is equally direct, spin up additional agent VMs, each with isolated resources and independent security policies. No shared tenancy. No resource contention between agents competing for the same memory pool. Each agent gets dedicated compute, the same guarantee V2 Cloud makes for human cloud desktops.

The Same Platform Your Human Team Already Uses

V2 Cloud is not a separate AI platform you have to learn. If you already manage cloud desktops for your employees, adding AI agents is a workflow you recognize. The management console, the billing model, the support team (24/7, unlimited, free), all the same. No new vendor evaluation. No separate security review. One platform for both your human and your AI workforce.

Explore Cloud Desktops

Infrastructure You Can Verify

99.95%

Uptime SLA for Agent VMs

<20 min

Agent Deployment Time

24/7

Unlimited Technical Support

0

Shared Resources Between Agents

See Autonomous AI Agents Running Inside V2 Cloud

Book a live demo and watch an AI agent operate inside an isolated VM, with real-time screen viewing, thinking logs, and the full security stack active. Bring your use case; we’ll show you how it maps to the platform.

Frequently Asked Questions

The process mirrors adding a new human user. From the IT Management Console, select “Add AI Agent,” choose VM specifications (CPU, RAM, storage), configure the permission tier and network access policies, and click deploy. The agent’s VM is provisioned and ready in under 20 minutes. No command-line configuration, no infrastructure scripting, and no separate platform to manage.

V2 Cloud deploys a multi-layer defense: input sanitization strips known injection patterns from data the agent processes, output validation gates verify that agent actions fall within its defined task scope, and runtime behavior monitoring compares each action against the agent’s operational baseline. If the system detects a deviation, such as the agent attempting to access a resource outside its permission tier after processing external content, it pauses execution and alerts the administrator. SentinelOne EDR adds an independent behavioral detection layer at the OS level.

Yes. The admin dashboard includes live screen viewing for every active agent VM. You see exactly what the agent sees, applications open, files accessed, commands executed, in real time. Sessions are recorded and timestamped for later review. Alongside the visual feed, thinking logs show the agent’s reasoning process: what it considered, which tools it chose, and why. These logs persist independently of the agent and cannot be modified by it.

Structurally, both are isolated virtual machines running on enterprise-grade hardware with dedicated resources and full backup coverage. The differences are in the management layer. Agent VMs include prompt injection defense, thinking log capture, cron job scheduling via the dashboard, behavioral baseline monitoring, and the chat/command interface. Privilege configuration is more granular, agent VMs default to minimal access and require explicit elevation, whereas employee desktops typically start with standard user permissions.

Multiple containment layers activate. SentinelOne’s EDR can autonomously quarantine suspicious processes before they complete. The behavioral monitoring system flags deviations from the agent’s baseline and can pause execution pending administrator review. The agent’s VM is network-isolated by default, so even a fully compromised agent cannot reach other VMs, employee desktops, or internal systems without explicitly granted access. If needed, an administrator can terminate the agent’s VM instantly from the dashboard, then restore from the most recent clean snapshot.

Yes. The dashboard includes a visual cron scheduler. Define tasks with standard cron syntax or use the graphical interface: run a workflow every 6 hours, trigger a report every Monday at 7 AM, execute a data sync on file arrival events. Scheduled tasks are logged with the same audit trail as interactive sessions, so you retain full visibility into what ran, when, and what it produced.

The process mirrors adding a new human user. From the IT Management Console, select “Add AI Agent,” choose VM specifications (CPU, RAM, storage), configure the permission tier and network access policies, and click deploy. The agent’s VM is provisioned and ready in under 20 minutes. No command-line configuration, no infrastructure scripting, and no separate platform to manage.

V2 Cloud deploys a multi-layer defense: input sanitization strips known injection patterns from data the agent processes, output validation gates verify that agent actions fall within its defined task scope, and runtime behavior monitoring compares each action against the agent’s operational baseline. If the system detects a deviation, such as the agent attempting to access a resource outside its permission tier after processing external content, it pauses execution and alerts the administrator. SentinelOne EDR adds an independent behavioral detection layer at the OS level.

Yes. The admin dashboard includes live screen viewing for every active agent VM. You see exactly what the agent sees, applications open, files accessed, commands executed, in real time. Sessions are recorded and timestamped for later review. Alongside the visual feed, thinking logs show the agent’s reasoning process: what it considered, which tools it chose, and why. These logs persist independently of the agent and cannot be modified by it.

Structurally, both are isolated virtual machines running on enterprise-grade hardware with dedicated resources and full backup coverage. The differences are in the management layer. Agent VMs include prompt injection defense, thinking log capture, cron job scheduling via the dashboard, behavioral baseline monitoring, and the chat/command interface. Privilege configuration is more granular, agent VMs default to minimal access and require explicit elevation, whereas employee desktops typically start with standard user permissions.

Multiple containment layers activate. SentinelOne’s EDR can autonomously quarantine suspicious processes before they complete. The behavioral monitoring system flags deviations from the agent’s baseline and can pause execution pending administrator review. The agent’s VM is network-isolated by default, so even a fully compromised agent cannot reach other VMs, employee desktops, or internal systems without explicitly granted access. If needed, an administrator can terminate the agent’s VM instantly from the dashboard, then restore from the most recent clean snapshot.

Yes. The dashboard includes a visual cron scheduler. Define tasks with standard cron syntax or use the graphical interface: run a workflow every 6 hours, trigger a report every Monday at 7 AM, execute a data sync on file arrival events. Scheduled tasks are logged with the same audit trail as interactive sessions, so you retain full visibility into what ran, when, and what it produced.

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