GoKawiilFor years, security teams built their programs around a simple premise of if you control the identities, you can control the risk. Employees authenticate through identity providers. Service accounts connect systems. API keys let workloads talk to cloud services and databases.
The actors have been very predictable. And as a result, the identity security and governance model have followed that predictability. Now, this premise is breaking.
AI agents entered the enterprise quietly, summarizing meetings, drafting emails, helping employees find information. Most security teams didn't think hard about them at first. They looked like productivity tools, because that is exactly what they were.
Then, organizations started connecting them to critical business services such as Salesforce, Snowflake, GitHub, Jira, production databases, and cloud environments. Now, they retrieve information, trigger workflows, update records, write and deploy code, and take actions across multiple systems.
Sometimes on the behalf of a human, sometimes autonomously, and sometimes in ways where it's genuinely unclear which.
This makes AI agents more than just tools. It makes them identities and most enterprises have no security and governance models for them.
The pattern is consistent across organizations. A new identity layer gets built on top of existing infrastructure with almost none of the controls that identity teams spent the last decade putting in place. An agent might be created by one team, used by another, connected to five different applications, and running on credentials that were provisioned for a completely different purpose.
It got broad access early because someone needed it to work and didn't want to slow things down. The result is a sprawl of high-privilege, low-visibility actors that most security teams can't inventory, let alone govern.
Don't let fear slow you down. AI at scale with Token Security on your side. AI agents create, use, and rotate identities at machine speed, outpacing traditional IAM controls. Token Security helps teams manage the full lifecycle of AI agent identities, reduce risk with remediation, and maintain governance and audit readiness without sacrificing speed. Request a Tech Demo
According to a 2026 CSA survey commissioned by us here at Token Security, 82% of organizations discovered at least one AI agent created without the knowledge of security, IT, or governance teams in the past year, and 41% found this happening multiple times.
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