The AI governance mirage: Why 72% of enterprises don’t have the control and security they think they do

The AI governance mirage: Why 72% of enterprises don’t have the control and security they think they do

The AI Governance Mirage: Why 72% of Enterprises Don't Have the Control and Security They Think They Do

Section 1 – What happened?

According to a recent survey conducted by VentureBeat, 72% of enterprise companies claim to have two or more AI platforms as their "primary" layer, revealing significant gaps in security and control. This is a concerning trend, especially considering the increasing potency of AI-driven attacks. The multiple AI platforms in question come from various providers, including hyperscalers like Microsoft Azure and Google, AI labs like OpenAI and Anthropic, and big application companies like Epic, Workday, and ServiceNow. These multiple platforms have created a state of sprawl, as enterprises struggle to build a singular AI strategy amidst the rush to scale AI.

Section 2 – Background & Context

The proliferation of AI platforms is a result of the big software providers' efforts to offer their own AI solutions to enterprise customers. In their haste to scale AI, these customers are building a collection of contradictions, rather than a cohesive strategy. This is evident in the case of Mass General Brigham (MGB) hospital system, which has 90,000 employees and is the largest employer in Massachusetts. MGB's CTO, Nallan "Sri" Sriraman, revealed that the company had to shut down numerous internal proof of concepts due to uncontrolled AI projects. Instead of building its own AI layer, MGB decided to wait for its software giants to deliver on their AI roadmaps, leveraging their resources and prioritization.

Section 3 – Impact on Swiss SMEs & Finance

The lack of control and security in AI governance has significant implications for businesses, investors, and the Swiss market. As AI-driven attacks become increasingly potent, enterprises must prioritize security and control. However, the current state of sprawl and contradictions in AI strategy makes it challenging for companies to achieve this. Swiss SMEs, in particular, may struggle to keep pace with the rapidly evolving AI landscape, putting them at risk of falling behind their competitors. Furthermore, the lack of transparency and accountability in AI governance may lead to regulatory challenges and reputational damage.

Section 4 – What to Watch

As the AI landscape continues to evolve, it is essential for enterprises to reassess their AI strategies and prioritize security and control. Companies like MGB, which have opted to wait for their software giants to deliver on their AI roadmaps, may be able to avoid the pitfalls of AI sprawl. However, this approach also comes with risks, as companies may become reliant on their vendors' roadmaps and lose control over their AI ecosystems. Investors and regulators should monitor the development of AI governance and security, as the lack of control and transparency in this area poses significant risks to the Swiss market and economy.

Source

Original Article: The AI governance mirage: Why 72% of enterprises don’t have the control and security they think they do

Published: April 21, 2026

Author: mmarshall@venturebeat.com (Matt Marshall)

---

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