"AI systems are rarely deployed in isolation. They are layered across and integrated into existing corporate technology, from cloud platforms and identity systems to applications and data pipelines. With ownership spread across disparate teams, effective centralized oversight has collapsed. As a result, 67 percent of CISOs reported limited visibility into how AI is being used across their organization."
"Without a clear view of where AI systems operate or what resources they can access, security teams struggle to assess risk effectively. Basic questions, such as which identities AI systems rely on, what data they can reach, or how they behave when controls fail, often remain unanswered."
"CISOs identified the following as their top obstacles to securing AI infrastructure: Lack of internal expertise (50 percent), Limited visibility into AI usage (48 percent), Insufficient security tools designed specifically for AI systems (36 percent). Only 17 percent cited budget constraints as a primary concern."
A survey of 300 US CISOs reveals that AI adoption is outpacing security capabilities, with 67 percent reporting limited visibility into AI usage across their organizations. AI systems are integrated across disparate teams and platforms, creating centralized oversight challenges. Security leaders face three primary obstacles: lack of internal expertise (50 percent), limited visibility into AI usage (48 percent), and insufficient AI-specific security tools (36 percent). Budget constraints rank as a minor concern at only 17 percent, indicating that financial resources are available but specialized skills and appropriate security controls designed for AI systems remain the critical gaps preventing effective defense.
Read at The Hacker News
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