The world of artificial intelligence is currently shifting from mere text generation to autonomous action. This shift, referred to as agentic AI, means that software can independently plan steps and interact with external tools. While this represents enormous efficiency gains for companies, it is a nightmare for security departments. The problem lies in how we authenticate these agents within corporate systems.

The Problem of Static Credentials for AI Agents

Until now, most companies deploying AI agents have been making one fundamental mistake: providing them with static, broadly defined access credentials. This means an AI agent has, for example, an API key or password that never expires and grants access to an entire database, even though it only needs a single row of information for a given task. If such an agent were compromised or a logic error occurred, an attacker would gain "the key to all doors."

The Microsoft Copilot Studio platform has greatly simplified the creation of these agents by making it easy to connect them to internal data and external APIs through protocols like Model Context Protocol (MCP). However, this accessibility has created a security vacuum. Companies need a way to control agents without slowing down their deployment.

Aembit: Identity for Machines, Not Just People

The new solution from Aembit, introduced at the Identiverse 2026 conference, acts as an intelligent intermediary between the AI agent and the corporate infrastructure. Instead of the agent using a permanent password, Aembit employs the concept of blended identity.

This process works as follows:

• User Context: The system takes into account the identity of the person who asked the agent to perform a task.
• Agent Context: The system determines the specific needs of the given AI agent.
• Ephemeral Credentials: Aembit generates a unique, short-lived token that is limited only to the specific task and specific data. Once the task is complete, the access credential immediately expires.

This model ensures that even if the agent is compromised, the attacker will have no permanent credentials to use for further attacks.

Comparison: Traditional IAM vs. Aembit for Agentic AI

Traditional identity management systems (such as Microsoft Entra ID or Okta) are designed primarily for people. They excel at verifying that Jan Novák is indeed Jan Novák. Aembit, however, addresses the specific problem of non-human identities (identities of non-human entities). While standard IAM focuses on preventing a person from entering systems they are not authorized to access, Aembit focuses on ensuring an AI agent cannot "overstep its boundaries" during automated data processing.

Practical Impact for Czech Companies and EU Regulations

For the Czech market and European businesses, this announcement has two major implications. The first is technology availability. Microsoft Copilot Studio is fully available to Czech corporate clients and supports the Czech language, meaning local companies can deploy these agents in their natural environment. Aembit becomes a crucial layer for those who want to use these tools without concerns about data security.

The second implication is compliance with the EU AI Act. The new European regulation on artificial intelligence places great emphasis on transparency, security, and traceability of AI systems. Aembit meets these requirements by logging every decision and every access step of the agent in detail. This enables companies in the Czech Republic to easily demonstrate to audit authorities how the AI agent worked with sensitive data, which is essential for GDPR compliance.

Pricing and Availability

It is important to note that neither Microsoft Copilot Studio nor Aembit are tools for ordinary individuals. These are enterprise solutions with individual pricing based on the scope of deployment. Microsoft Copilot Studio is usually part of a broader Microsoft 365 Copilot package (prices range around $28–30 per user/month, but depend on the license). Aembit requires direct contact with the sales department and is aimed at companies with high cybersecurity requirements.

Conclusion

The rise of autonomous agents is inevitable. Companies no longer need to wait for these technologies to mature; they can start using them right now. The key to successful and secure deployment, however, is not to try to restrict the agents, but to provide them with the right framework for their identity. The integration of Aembit into Microsoft Copilot Studio is a step toward an era where we can delegate real tasks to AI with the confidence that our data will remain secure.