Data Security
We've curated 91 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.
51% of respondents surveyed have expert-level skill in data security.
49% of respondents surveyed need significant skill improvement in data security.
66% of companies have dedicated employees for 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.
58% of employees in the healthcare and pharmaceuticals industry have received training on AI safety and data security.
52% of employees in the education industry have received training on AI safety and data security.
44% of non-managerial staff have received no training in AI safety and data security.
54% of employees in the retail industry have received training on AI safety and data security.
93% of non-managerial staff recognize the importance of AI safety and data security training.
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.
69% of employees in the manufacturing industry have received training on AI safety and data security.
80% of employees in the financial services 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.
Data security (43%) and lack of trust in GenAI outputs (40%) remain major adoption hurdles for GenAI in supply chains
Organisations without plans to implement a hybrid cloud model are more likely (51%) to have data security and privacy concerns