Data Protection
We've curated 22 cybersecurity statistics about Data Protection to help you understand how safeguarding sensitive information and implementing robust encryption methods are evolving in 2025. Explore the latest practices that organizations are adopting to combat data breaches.
Showing 1-20 of 22 results
70% of enterprise leaders use real-time alerts to secure data.
48% of enterprise leaders are not fully confident they could demonstrate compliance with data protection regulations.
Only 52% of enterprise leaders feel very confident about the security of data travelling across their own networks.
The number of organizations implementing real-time controls on data sent to personal applications increased from 70% to 77% from the previous year.
88% of IT leaders believe it will be extremely (50%) or moderately important (38%) in 2026 to ensure partners and suppliers meet their cybersecurity and data protection standards.
54% of IT leaders plan for a moderate or significant increase in their budget for data protection and resilience in 2026.
41% of IT leaders believe increased executive-level accountability would have a major impact on improving cybersecurity and data protection.
44% of U.S.-based cybersecurity decision-makers ranked protecting sensitive data among their top two cybersecurity priorities for 2026.
30% of businesses reported that they use AI and must now protect it like any other critical system.
77% of organizations are more likely to consider Confidential Computing due to the Digital Operational Resilience Act's specific requirement to protect data in use.
26% of organizations place the insider risk function within a dedicated Data Protection or Data Security team.
The top three priority areas for deploying agentic AI solutions are cloud security (39%), data protection (39%), and cyber defence and operations (38%).
Despite near-universal adoption of Data Loss Prevention (DLP) tools, one-third say their data remains inadequately protected.
Less than 10% of enterprises have implemented data protection policies and controls for AI applications.
71% of financial services firms noted data protection concerns are driven by the volume of sensitive data required to support AI models.
65% of financial services firms cite data protection as the primary barrier to AI adoption.
64% of respondents worry about inadvertently sharing sensitive information publicly or with competitors.
Among those aware of their country's privacy laws, 81% feel confident in their ability to protect their data, compared to just 44% of those unaware of such laws.
91% of organisations trust global providers for better data protection, which is up five percentage points year-over-year.
91% of digital banking Americans indicated that protecting data from other unauthorized third parties was important or very important to them