AI agents are increasingly taking on independent tasks within companies: they analyse data, access systems, automate processes and support staff in their day-to-day work. However, this new form of automation presents a key challenge:

How can an AI agent’s access and permissions be securely managed?

This is exactly where Privileged Access Management (PAM) comes into play.

The problem with permanent permissions

Many companies still use static or permanently assigned access rights. Whilst this is already a problem for standard user accounts, it quickly becomes a genuine security risk for AI agents.

Because AI agents work:

• automated
• around the clock
• across systems
• dynamic and context-dependent
• in some cases with elevated permissions
  
  

If an AI agent is granted permanent privileged access, this gives rise to significant risks:

• unauthorised access to the system
• Misuse of compromised accounts
• lack of traceability
• excessive permissions
• Compliance and governance issues
  
  

What’s more, AI agents differ fundamentally from traditional service accounts or technical users.

Whilst traditional service accounts usually execute clearly defined background processes, AI agents operate in a much more dynamic manner. Depending on the context, they access different systems, process information independently and carry out complex processes automatically.

Traditional role-based authorisation models are increasingly reaching their limits.

PAM as the foundation for AI agent security

Privileged Access Management (PAM) takes a modern approach to security:

Critical permissions are granted only on a temporary basis, in a controlled and traceable manner.

For an AI agent like MAIA, this means:

MAIA is only granted enhanced rights if they are actually required, and only for a clearly defined period.

This principle is known as ‘just-in-time access’.

Time-limited permissions

With PAM, AI agents can be granted temporary access, for example:

• Access to an ERP system for 15 minutes
• temporary database permissions
• short-term API permissions
• one-off administrative tasks
• authorised system access for defined processes
  
  

Once the specified time has elapsed, these rights will be automatically revoked.

This results in several benefits at once:

• Greater security
• Permanent privileged accounts are avoided.
• Minimising the attack surface
• A compromised AI agent does not have permanent administrator rights.
• Traceability & auditability
  
  

All actions and the granting of permissions can be logged and reviewed.

Compliance & Governance

Companies retain control over sensitive access and critical systems at all times.

Why AI agents call for a new approach to PAM

AI agents operate autonomously, dynamically and in response to specific situations. This fundamentally changes the requirements for modern identity and access management. Static role models will no longer suffice in future. Instead, permissions must be granted flexibly, contextually and on a time-limited basis.

Modern PAM solutions provide the necessary foundation for this:

• Just-in-Time Access
• principle of least privilege
• controlled allocation of rights
• full logging
• Governance and compliance mechanisms
  
  

This allows AI agents to be integrated securely and in a controlled manner into existing business processes.

IDABUS and the concept of controlled AI identities

With the MAIA approach, IDABUS aims to treat AI agents not as traditional technical accounts, but as independent digital identities with controlled permissions. This creates a secure foundation for the productive and scalable deployment of AI agents in modern businesses.