AI agents are running hospital records and factory inspections. Enterprise IAM was never built for them.

AI agents are running hospital records and factory inspections. Enterprise IAM was never built for them.

AI Agents in Enterprise Environments Pose Trust and Governance Challenges

Section 1 – What happened?

At the recent RSAC 2026 conference, Cisco President Jeetu Patel revealed that 85% of enterprises are currently running agent pilots, while only 5% have successfully transitioned these pilots to production. This significant gap highlights a trust problem that is hindering the widespread adoption of artificial intelligence (AI) agents in enterprise environments. AI agents are being used in various applications, including updating electronic health records, running quality control on manufacturing lines, and generating non-human identities that are challenging to inventory, scope, and revoke.

Section 2 – Background & Context

The increasing use of AI agents in enterprise environments is not a new phenomenon. However, the lack of robust identity governance and management (IGM) capabilities is creating a structural problem that is preventing the widespread adoption of these agents. Most enterprises still lack mature role-based access control (RBAC) capabilities, which are essential for managing human identities. The introduction of AI agents will only exacerbate this issue, making it significantly harder for businesses to maintain trust and security in their systems.

Section 3 – Impact on Swiss SMEs & Finance

The trust gap created by the lack of robust IGM capabilities is not limited to large enterprises. Small and medium-sized enterprises (SMEs) in Switzerland, which are critical to the country's economy, are also vulnerable to the risks associated with AI agent adoption. The increasing use of AI agents in industries such as healthcare and manufacturing will require SMEs to invest in robust IGM capabilities to maintain trust and security in their systems. Failure to do so may lead to reputational damage, financial losses, and regulatory non-compliance.

Section 4 – What to Watch

As the adoption of AI agents continues to grow, it is essential for enterprises to prioritize the development of robust IGM capabilities. This includes investing in RBAC, identity analytics, and access governance solutions that can effectively manage human and non-human identities. Businesses should also focus on developing a trust framework that can provide visibility into system-to-system communications, identify potential security risks, and ensure accountability when AI agents act outside their scope.

Source

Original Article: AI agents are running hospital records and factory inspections. Enterprise IAM was never built for them.

Published: May 11, 2026

Author: louiswcolumbus@gmail.com (Louis Columbus)

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Consult a licensed financial advisor before making investment decisions.