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Komprise Survey Finds that Shadow AI is a Major Concern Across Enterprise IT 

Ninety percent of IT leaders are worried about shadow AI and 13% have experienced financial and customer fallout

CAMPBELL, Calif., June 03, 2025 (GLOBE NEWSWIRE) -- Komprise, the leader in analytics-driven unstructured data management, announces the results of new industry research: Komprise IT Survey: AI, Data & Enterprise Risk. The survey showed IT organizations are concerned about shadow AI, with nearly half stating that they are “extremely worried” about the security and compliance impact of unauthorized and unsanctioned use of AI tools.

Beyond concern, enterprises are seeing real-world impact from shadow AI. Nearly 80% of IT leaders say their organization has experienced negative outcomes from employee use of Generative AI, including false or inaccurate results from queries (46%) and leaking of sensitive data into AI (44%). Notably, 13% say that these poor outcomes have also resulted in financial, customer or reputational damage.

To help combat the downside of shadow AI, most (75%) plan to use data management technologies to address risks from shadow AI, followed closely by AI discovery and monitoring tools (74%). 

Komprise surveyed 200 IT directors and executives at U.S. enterprise organizations of 1,000 employees and larger. The purpose of the survey was to discover how IT teams are preparing their unstructured data for AI and the challenges they face. A third party conducted the survey in April. Download the report here.

Key Statistics

Shadow AI Risks 

  • The vast majority (90%) are concerned about shadow AI from a privacy and security standpoint, with 46% reporting that they are “extremely worried.” 
  • Most (79%) of IT leaders report that their organization has experienced negative outcomes from sending corporate data to AI, including PII data leakage and inaccurate or false results. 
  • Most (75%) are planning to use data management technologies to address risks from shadow AI, followed closely by AI discovery and monitoring tools (74%). 

Preparing Unstructured Data for AI 

  • The greatest challenge in preparing unstructured data for AI is finding and moving the right data to locations for AI ingestion (54%) followed by a lack of visibility into data across data storage to identify risks (40%). 
  • The top tactic for preparing data for AI is classifying sensitive data and using workflow automation to prevent its improper use with AI (73%). 
  • Nearly all (96.5%) are classifying and tagging unstructured data for AI, with a mix of manual and automated methods for doing so. 
  • More than half (56%) say that IT is moving data to AI processes for users manually, or with free tools, with 40% saying that users are manually copying data to AI on their own. 

IT Infrastructure Priorities 

  • Supporting AI initiatives is the top priority for IT infrastructure (68%), followed by 16% saying it is equally important as cost optimization, cybersecurity and core IT upgrades. 
  • Most IT leaders (45%) express a multi-faced strategy for investing in storage for AI, with equal priority to acquiring AI-ready storage, increasing capacity of existing storage and acquiring data management capabilities for AI. 

“As enterprises are starting to get real about AI as part of their business strategy, the cracks are starting to show,” says Krishna Subramanian, COO and co-founder of Komprise. “With most reporting that they have experienced negative and even damaging consequences from using corporate data with AI, it’s time to create the right AI data governance strategy. Unstructured data management will play a central role by giving users automated tools for data classification, sensitive data management, data workflows and AI data ingestion.”

Read the report: Komprise IT Survey: AI, Data & Enterprise Risk.

About Komprise
Komprise powers the connection between unstructured data management and AI. Komprise Intelligent Data Management delivers a single platform to easily analyze, migrate, transparently tier and manage the lifecycle of petabytes of file and object data across hybrid environments. With Komprise, enterprise IT gains full visibility across silos to optimize storage, backup, ransomware and cloud costs. Komprise Smart Data Workflows and the Komprise Global File Index unlock unstructured data insights and access for AI.  www.komprise.com

Contact:
Kevin Wolf
kevin@tgprllc.com


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