Netskope outlines zero trust and SASE steps for healthcare AI governance
Netskope reports that most healthcare organizations are building or integrating AI while many use AI without corporate oversight, creating unmanaged exposure and data-leakage concerns. The survey frames AI governance and security architecture as urgent for CISOs and CIOs.
Research Overview
Netskope surveyed North American IT leaders in the healthcare sector to assess how AI adoption is proceeding and where governance gaps appear. The report focuses on adoption levels, oversight practices, and constraints tied to existing infrastructure.
The survey results are presented as a gap between broad AI usage and limited oversight, alongside friction from legacy systems. Netskope also links the findings to the need for modern security architectures.
Key Findings
According to the survey, 67% of healthcare organizations are building their own AI applications. The survey also reports that 52% have signed off on standalone AI apps and are integrating AI into existing SaaS platforms.
At the same time, half of healthcare organizations report using AI without corporate oversight, described as shadow AI. Netskope reports that 52% of leaders expressed concern about data leakage from shadow AI, creating a mismatch between usage and concern.
Technical Breakdown
Netskope attributes oversight challenges to legacy infrastructure and technical debt. The survey reports that 49% of healthcare leaders say infrastructure slows down new AI initiatives.
The survey also reports that 28% say legacy systems actively hold back innovation and that one in three cites budget constraints as a top operational challenge. Netskope connects the problem to security coverage that is described as insufficient for data moving among clinicians, cloud applications, and third-party models.
Operational Impact
Netskope highlights pressure to accelerate AI adoption, with 51% of leaders reporting board-level pressure to move quickly. The report also states that 51% are concerned about AI hallucinations affecting clinical decision-making.
To address data sprawl and governance needs, Netskope points to zero trust and secure access service edge as part of a modern security architecture. In the survey, leaders who adopted these architectures reported 46% better network performance, 40% faster launch of new products and services, and 38% operational efficiency and cost reduction.
Conclusion
Netskope’s survey depicts widespread AI building and integration paired with shadow AI use and governance gaps, alongside constraints from legacy infrastructure. It argues for applying zero trust and SASE patterns to govern AI usage, protect PHI, and preserve audit trails, and this “Blog Signals brief” is a fact-based summary of the vendor blog.