GenAI
We've curated 76 cybersecurity statistics about GenAI to help you understand how generative AI technologies are being leveraged for both innovative solutions and new threats in 2025.
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9% of organizations have no plans to use GenAI in API development.
5% of organizations reported that GenAI is not a concern at all for API security.
13% of organizations reported using GenAI for all API development.
49% of organizations are using GenAI for some API development.
23% of organizations plan to adopt GenAI within the next 6–12 months for API development.
2% of respondents expressed other security concerns about using Generative AI to develop APIs.
15% of organizations are very confident in detecting and responding to attacks leveraging Generative AI.
55% of organizations were somewhat confident in their ability to detect and respond to attacks leveraging Generative AI.
5% of organizations did not know about their ability to detect and respond to attacks leveraging Generative AI.
15% of organizations were not very confident in their ability to detect and respond to attacks leveraging Generative AI.
3% of organizations do not know if Generative AI is perceived as a growing API security concern/risk within their organization.
38% of healthcare organizations identified generative AI or AI tools as a cybersecurity concern, a new category in this year’s study.
68% of financial services leaders highlight GenAI-related risks as a top concern.
71% of healthcare leaders cited GenAI as the top risk.
71% of healthcare leaders cited GenAI as the top risk.
In the Middle East, unauthorised GenAI is the top insider concern (31%).
More than three-quarters of organisations (76%) report some level of unapproved Generative AI (GenAI) usage.
Unapproved GenAI usage rates are highest in technology (40%), financial services (32%), and government (38%).
82% of innovation leaders are already allocating more than 6% of their IT budgets to genAI-enabled data management.
In 2025, only 36% of organizations feel confident in their ability to support large-scale genAI workloads and data volumes.