What happens when AI agents outnumber your employees?

This question needs serious attention now. With Google Cloud partnering with Thoma Bravo to bring AI capabilities to over 115 companies and Technogym rolling out Gemini Enterprise on a global scale, the number of non-human identities is growing rapidly.

This presents a significant identity challenge because traditional IAM solutions weren’t designed for this emerging, autonomous workforce. Many of these AI agents behave unpredictably, unlike typical service accounts, which challenges established security frameworks.

Here’s what I’m observing:

✔️ Continuous Operation: AI agents don’t simply “log in” and stay put. They run around the clock, making independent decisions and interacting with multiple APIs. Security needs to focus on ongoing, real-time authorisation, not just a single checkpoint.

✔️ Probabilistic Behaviour: The next action an AI agent takes is often not predetermined, influenced by both its training data and live inputs. Authorising such unpredictable actions demands a dynamic risk evaluation approach.

✔️ The Governance Gap: Often, human identities are managed within Okta and workload identities within Google Cloud, but there’s frequently a disconnect between the two. Without an integrated view, governing AI agents that cross both environments becomes complex.

Bridging the governance of Okta’s human identities with Google Cloud’s workload capabilities is essential. This integration strengthens security across the evolving landscape of automated agents.

If you can’t estimate how many AI agents are operating in your cloud environments today, it’s a clear signal to revisit your identity strategy. 🚀

#IdentitySecurity #GoogleCloud #Okta #AI #IAM #ZeroTrust #CloudSecurity