Privacy
We've curated 91 cybersecurity statistics about Privacy to help you understand how data protection practices and regulations are evolving in 2025, highlighting the challenges organizations face in safeguarding personal information from breaches and misuse.
Related Topics
Showing 1-20 of 91 results
60.9% of Americans say privacy is 'very important' when using mobile apps.
38% say privacy or surveillance concerns is the biggest barrier to maturing their insider risk program.
49% of large companies (500-9999 employees) are concerned with privacy.
46% of small companies (<100 employees) are concerned with privacy.
41% of medium companies (100-499 employees) are concerned with privacy.
47% of very large companies (10000+ employees) are concerned with privacy.
27% of respondents are concerned about the invasion of personal privacy by AI programs.
More than 60% of data and IT leaders say data security and privacy is their biggest concern when implementing AI/ML.
Privacy and cyber security coverage was triggered in 13.2% of all claims, with a higher prevalence in excess claims(22.2%) compared to primary claims (9.4%).
Data recovery was triggered as the main driver of loss in 1.3% of claims, triggered with some loss impact in 17.5%, triggered with no loss impact known in 5.0%, and not triggered in 76.2%.
Data privacy and security are among the top three LLM provider considerations for 37% of respondents, followed by integration with existing systems and cost.
Data privacy and security are among the top three LLM provider considerations for 37% of respondents, followed by integration with existing systems and cost.
Nearly half (45%) of UK HR professionals are worried about privacy risks related to AI-powered HR tools, which is the highest percentage among all countries surveyed.
More broadly, 60% of survey respondents are concerned about the impact of AI on the privacy and security of their digital identities.
76% of tech leaders have identified skills gaps within their teams. Among the specific areas where skills gaps are most notably reported, Cybersecurity and privacy accounts for 30%
29% of organizations struggle with compliance since auditors require proof of data security and privacy in AI-based systems.
Organisations without plans to implement a hybrid cloud model are more likely (51%) to have data security and privacy concerns
Concerns around data security and privacy remain a challenge when it comes to implementing AI initiatives for 34% of respondents.
64% of Canadian organisations cite data privacy concerns as a common barrier to GenAI adoption.
An overwhelming 99% of respondents anticipate reallocating resources from privacy budgets to AI initiatives in the future.