From Chatbots to Autonomous Agents: What is Agentic AI?
To understand the significance of Kaseya's innovations, we must first clarify the difference between common large language models (LLM), such as ChatGPT or Claude, and the concept of Agentic AI. While standard models are designed to generate a response based on a query, agentic AI possesses the ability to plan, reason, and use tools.
Agentic AI doesn't just wait for a prompt. If you give it the task "Secure all workstations against a new vulnerability," the agent won't just provide text instructions. It can independently look into the system, identify vulnerable machines, download the necessary patch, initiate installation, and then verify that the system is secure again. This process consists of several steps that the agent plans and executes autonomously. In the context of IT management, this means a shift from a reactive to a proactive model of infrastructure care.
Kaseya 365: An Ecosystem for Modern IT
The Kaseya 365 platform represents an integrated approach that divides management into several key pillars. The most important include:
- Kaseya 365 Endpoint: Focuses on endpoint management (computers, servers, mobile devices).
- Kaseya 365 User: Focuses on user security and identity management.
- Kaseya 365 Ops: Optimizes operational processes and automation within the IT team.
A key element here is the integration of Practical AI. Kaseya does not implement AI as an add-on feature, but as the core of its workflow automation strategy. This allows IT professionals (especially within MSPs – Managed Service Providers) to scale their services without the need for a linear increase in staff.
Practical Impact: What Does This Mean for Czech IT Companies?
For Czech IT specialists and local IT service providers (MSPs), this technology has a fundamental impact on efficiency and competitiveness. In the Czech environment, where we often face a shortage of qualified IT administrators, Agentic AI can function as a "digital junior" that takes over routine, repetitive tasks.
Practical Example: Imagine a Czech company managing 500 laptops for various clients. Upon detecting a critical browser vulnerability, the administrator doesn't have to manually create scripts. Agentic AI within the Kaseya platform itself detects this vulnerability, prepares a patch, and applies it during a maintenance window. For a Czech MSP, this means lower labor costs and a higher level of security for clients.
From the perspective of European regulation (EU AI Act), however, it is important to emphasize that autonomous systems must remain under supervision. Kaseya, as part of its innovations, focuses on ensuring that processes are transparent and auditable, which is in line with the requirements for AI explainability in the EU.
Comparison: Kaseya vs. Traditional Automation
Many people might confuse Agentic AI with conventional automation (e.g., using PowerShell scripts or simple rules in RMM tools). The difference, however, lies in adaptability.
| Feature | Traditional Automation (RMM) | Intelligence |
|---|---|---|
| Logic | Fixed rules (If/Then) | Adaptive reasoning and planning |
| Error Reaction | Script fails and ends | Agent identifies error and tries an alternative |
| Setup Complexity | High (necessity to write scripts) | Low (natural language / task) |
Price and Availability
Kaseya does not use a standard "pay-as-you-go" model like OpenAI, but offers comprehensive subscription models within the Kaseya 365 platform. Prices are usually individually negotiated depending on the number of managed endpoints and the scope of services (in USD/EUR). For those interested in implementation, a demo version is standard, allowing testing of AI agent capabilities in one's own environment.
From a localization perspective, it should be noted that the platform interface is primarily in English. However, for Czech administrators, this is not a major obstacle, as the main interaction with the AI agent occurs through giving instructions, which can (within modern LLMs) increasingly be formulated in Czech, even though technical documentation and system administration require English terminology.
Can I completely disable autonomous AI agents in Kaseya if I'm concerned about security?
Yes. Kaseya follows standard security protocols where the administrator determines the level of autonomy. You can set a "Human-in-the-loop" mode, where the agent only suggests an action and waits for manual human approval before executing it.
Is Agentic AI in Kaseya compatible with Czech cloud services?
Yes, the platform is designed for managing hybrid infrastructures. This means it can manage endpoints running in Czech cloud centers (e.g., within local providers) as well as in global services like Azure or AWS.
What are the main risks when using autonomous IT agents?
The main risk is so-called "hallucination" within actions – meaning that the agent might misinterpret a command. Therefore, the implementation of control mechanisms and monitoring that verify the outcome of each autonomous operation is crucial.