The AI landscape is evolving beyond just chatbots. 🚀

Google Cloud’s Gemini Enterprise for Customer Experience is a notable example. AI agents can now book appointments, handle returns, and process transactions by connecting directly to customer data and backend systems.

This introduces significant identity challenges.

Leaders have raised concerns about "shadow agents"—AI systems created by various departments without IT oversight, often granted excessive privileges.

Traditional IAM tools struggle here. These non-human identities rely on API keys or service accounts that often aren’t rotated or expired, sidestepping regular governance controls.

Addressing this calls for a dedicated framework focused on lifecycle management, enforcing least privilege, and continuous access reviews.

For IAM professionals and cloud architects, it’s crucial to start identifying and managing these AI agents proactively to avoid audit risks.

What approaches is your organisation taking to treat AI agents as first-class identities? I’d be glad to share insights and hear your experiences.