AI agents: the new invisible challenge for your IAM

Rethinking identity access control

AI agents are changing the rules. Is your identity governance ready?

Find out why traditional IAM models fail when facing autonomous agents, and how to regain control before the risks become critical.

White Paper - AI agents and IAM governance

Free • 20-minute read • Practical ideas and solutions

A revolution with a critical blind spot

AI agents go beyond scripts.

They interpret, decide, and act, often with excessive access.

Yet most IAM infrastructures are still based on models designed for human identities or predictable systems.

Result:

  • Poorly granted privileges

  • Behaviours that are hard to trace

  • Invisible risks within systems

External attacks are no longer your only concern. Today, danger can come from poorly controlled legitimate use. 

The risk does not come from bypassing IAM, but from the way agents use it.

A new approach to AI identity governance

This white paper proposes a structured framework to regain control with 3 key pillars:

  1. Clear governance: defining responsibilities, roles, and scope of agents
  2. Structured authorizations: harmonizing access based on context and use cases
  3. Increased monitoring: detecting risky behaviours, even when authorized

Your benefits

✅ Identify risks related to AI agents in your information system

✅ Assess your IAM maturity in the age of agents

✅ Structure suitable governance starting today

✅ Secure your AI use cases without slowing down innovation

Regain control before the risks slip away from you.

Written by

  • Marcellin Nachin

    Leader Cybersecurity