As artificial intelligence becomes deeply embedded in business operations, organisations are facing growing security, governance, and compliance challenges. A recent industry report highlights that while AI adoption continues to rise rapidly among MacOS-based enterprises, stronger governance frameworks are becoming essential to manage associated risks.
According to the report, around 73% of organisations have already deployed AI solutions, while another 20% are actively exploring implementation. However, the expansion of AI usage is bringing new concerns for IT and security teams.
One of the biggest risks identified is shadow AI, where employees use unapproved AI tools without organisational oversight. This lack of visibility makes it difficult for IT teams to maintain security, governance, and compliance standards.
The growing use of agentic AI is also creating challenges. While these systems can improve productivity, technology leaders report concerns about deploying AI agents without exposing sensitive data or compromising code repositories. Improper permissions or insecure code changes can create significant operational and security risks.
The increasing number of AI vendors is adding another layer of complexity. IT teams are finding it difficult to evaluate, approve, and deploy AI tools at the pace the technology is evolving. In addition, usage-based pricing models can lead to unexpected costs, especially when organisations lack visibility into paid licenses and tool utilisation.
Despite these concerns, AI governance is not yet the top priority for many organisations. Survey respondents ranked governance as their third priority, behind IT automation and employee productivity improvements. AI security enhancements ranked fifth.
The report also highlights a clear link between AI adoption levels and security incidents. Organisations that are still exploring AI reported incident rates below 20%, while those that have deeply integrated AI into business workflows recorded incident rates of 27%.
To reduce risks, experts recommend regular audits to improve visibility, stronger software governance practices, strict data-access controls, early integration of governance measures during deployment, and greater use of built-in security tools.
As AI adoption continues to grow, the findings suggest that organisations will need to balance innovation with stronger governance to ensure secure and sustainable implementation.
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