Nearly Half of Large Enterprises Lack Full Visibility Into AI Use by Employees, According to New Protiviti AI Pulse Survey
AI blind spots are increasing cybersecurity, operational and third ‑ party risk as adoption accelerates
The findings come from the fourth
AI Adoption Is Outpacing Oversight and Governance
The survey reveals a widening gap between the pace of AI adoption and organizations' ability to govern it effectively:
- 47% of large organizations lack full visibility into AI tools used by employees.
- 65% report challenges with "shadow AI," where systems are deployed or used without proper oversight.
- Only four in 10 organizations have a formal AI governance framework in place. Even among large organizations, one in three lack a formal framework, underscoring that resources alone do not guarantee effective oversight.
According to the survey, organizations that have a formal AI governance framework in place report:
- Greater visibility into AI usage
- Higher confidence in managing AI-related risk
- Stronger recognition of AI-driven cyber and operational threats at the executive level
"Organizations can't manage what they can't see," said
Visibility Gaps Expose Organizations to Higher Cyber and Operational Risk
The research also highlights a disconnect between executive leadership and IT teams when it comes to assessing AI-related risk:
- Close to half of IT leaders (45%) believe AI has increased cyber risk significantly, versus fewer than one in three (30%) executives and board members.
IT teams, which are closer to day‑to‑day AI usage, are more likely to identify gaps that extend beyond internal systems to include vendor platforms, embedded AI tools and third‑party services. These blind spots can delay decision‑making, slow investment in controls and limit an organization's ability to respond quickly to emerging AI-driven threats.
As AI Scales, Visibility and Control Must Scale with It
As organizations move beyond early experimentation and their use of AI more significantly impacts customers, financial processes, and other critical elements of the business, the importance of scalable governance, accountability and continuous AI tool monitoring grows.
"As AI extends deeper into business processes and third‑party ecosystems, organizations need to revisit and strengthen controls," Ansari said. "Those that invest early in governance, transparency and accountability will be far better positioned to scale AI securely, respond to threats and sustain long‑term value."
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