We've curated 12 cybersecurity statistics about Data security to help you understand how protecting sensitive information, managing threats like data breaches, and implementing encryption technologies are evolving in 2025.
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26% of organizations place the insider risk function within a dedicated Data Protection or Data Security team.
49% of respondents surveyed need significant skill improvement in data security.
66% of companies have dedicated employees for data security.
51% of respondents surveyed have expert-level skill in data security.
97% of respondents indicated that Data security requires significant or moderate improvement.
97% of employees recognizes that education in AI safety and data security is important for employees in the workplace.
Only 63% of employees have received company-advised or mandated training in AI safety and data security.
93% of non-managerial staff recognize the importance of AI safety and data security training.
52% of employees in the education industry have received training on AI safety and data security.
54% of employees in the retail industry have received training on AI safety and data security.
22% of employees have had no training in AI safety and data security at all, and have not sought to educate themselves on it either.
44% of non-managerial staff have received no training in AI safety and data security.
80% of employees in the financial services industry have received training on AI safety and data security.
58% of employees in the healthcare and pharmaceuticals industry have received training on AI safety and data security.
69% of employees in the manufacturing industry have received training on AI safety and data security.
More than 60% of data and IT leaders say data security and privacy is their biggest concern when implementing AI/ML.
29% of organizations struggle with compliance since auditors require proof of data security and privacy in AI-based systems.
35% of respondents cite securing data across varied ecosystems as their top challenge.
33% of respondents at middle market organisations indicated they have five or fewer data security and privacy employees.
Data security (43%) and lack of trust in GenAI outputs (40%) remain major adoption hurdles for GenAI in supply chains