AI agents are becoming a standard hosting workload. Tools like OpenClaw (369,000+ GitHub stars, recently acquired by OpenAI) have moved from developer experiments to production deployments. Hosting customers are installing them on VPS environments, asking for support, and expecting infrastructure that can handle them.
For hosting providers, this is a genuine opportunity to generate additional revenue. AI agent hosting is emerging as a new service tier, with customers who need dedicated resources for running agents alongside their existing workloads.
But these agents do things no previous workload did. They execute shell commands, read and write files, make network calls, hold persistent credentials, and install packages. They do all of this autonomously, without a human reviewing each action. That introduces a category of security risk that nothing in the current hosting stack addresses.
Traditional server security solutions protect against external threats: malware, brute force attacks, exploits, unauthorized access. It works by identifying and blocking things that shouldn't be there.
AI agents are different. They are authorized users with tools. They have access to sensitive data and secrets. They are supposed to execute commands. The security challenge isn't keeping them out. It's making sure they stay within bounds.
Three specific risks stand out.
Prompt injection. An agent reads a web page, email, or message that contains hidden instructions and follows them without the operator knowing. The agent is effectively jailbroken through its input, not through any vulnerability in its code.
Credential exposure. Agents routinely hold API keys, SSH keys, and cloud credentials. A compromised or misconfigured agent can read these files and send them to an external endpoint. The March 2026 LiteLLM supply chain attack demonstrated exactly this: a compromised Python package swept SSH keys, AWS credentials, Kubernetes tokens, and .env files from affected machines, then exfiltrated everything to an attacker-controlled server within seconds. (Full analysis on the Imunify for AI Agents blog)
Invisible operations. Hosting providers currently have no visibility into what agents are doing on their infrastructure, or whether their behavior has changed. If an agent is compromised, nothing in the current stack will tell you.
Imunify for AI Agents is a security platform that monitors and controls what AI agents do on Linux servers. It intercepts every file access, network connection, process execution, and tool call, enforcing security policies before any action completes.
The core design principle: you don't secure the agent's thoughts; you secure its hands. Rather than trying to make the AI model itself safe (which no one can guarantee), Imunify for AI Agents mediates every action the agent takes in the real world.
Imunify for AI Agents is a standalone product and a new addition to the Imunify family. It's from the team behind Imunify360, the security platform that protects over 65M websites worldwide.
What makes it different: Enforcement at the operating system level. Application-layer guardrails run inside the agent's own process. If that process is compromised (through a supply chain attack, a malicious plugin, or a corrupted dependency), the guardrails go down with it. They also only see what the agent framework exposes to them, not raw file reads or network connections that happen outside the framework's awareness.
Container sandboxes have a different blind spot. They can't distinguish between an agent reading README.md and reading .ssh/id_rsa, because both are permitted file reads inside the container.
Imunify for AI Agents operates below the application, below the runtime, and below the agent framework. It intercepts system calls in kernel space. It runs in a separate privilege domain that the agent process cannot reach. The agent cannot bypass, disable, or kill the security layer. If it tries, the agent process is terminated instead.
Imunify for AI Agents provides multiple layers of protection, each at a different level of the stack.
Kernel-level enforcement. Every file read, process execution, and network connection is intercepted at the operating system level before it completes. The agent process is frozen in the kernel until policy decides. Self-defending: if the agent attempts to stop the security layer, the agent is killed.
Application-layer hooks. A lightweight plugin intercepts every AI tool call and message before execution. It detects prompt injection patterns, blocks credential access, and requires human approval for shell commands. Fail-closed: if the plugin is unavailable, all operations are blocked.
Content scanning. A cross-cutting detection net across file reads, agent messages, and HTTP bodies. 200+ signatures match private keys, cloud provider credentials, API tokens, and database connection strings. High-confidence matches are blocked automatically. The broader signature set generates alerts that operators can review and promote to blocking.
Cross-event correlation. Analyzes full chains of events within an AI agent's turn. Individual actions may look safe in isolation. Reading an .env file is normal. Making an HTTP request is normal. Reading .env and then sending its contents to an external endpoint is credential exfiltration. Configurable rules detect these chains automatically.
Human-in-the-loop. Suspicious operations are paused and held for human approval via Telegram, Discord, or the web panel. Allow once, per session, or always. Over 800 configurable rules across 13 threat categories let you tune enforcement to your environment.
Offer AI workloads with confidence. Your customers want to run AI agents. Imunify for AI Agents lets you support that workload without accepting unmonitored risk on your infrastructure.
Get fleet-wide visibility. See what agents on your servers are doing, and whether their behavior has drifted from normal. Identify compromised or misconfigured agents before they cause damage.
Tune policies to your environment. 800+ YAML-based rules across 13 threat categories. Set your own thresholds for what gets blocked, what gets flagged for review, and what requires human approval.
Imunify for AI Agents is available now through our Priority Access Program.
We're looking for partners who are running or planning to run AI agent workloads and want to be among the first to secure them. The product currently supports OpenClaw with full integration.
Visit imunify.ai to learn more and request Priority Access.