AI Safety
We've curated 14 cybersecurity statistics about AI safety to help you understand how safeguarding AI systems from adversarial attacks and ensuring ethical use is becoming increasingly critical in 2025.
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86% of enterprise leaders cite reliability, security, privacy, and accuracy as the top blockers preventing the implementation of autonomous agents.
56% of organizations report challenges in managing AI user risks, including the unintended spread of misinformation.
47% of organizations say their AI models can learn robust norms and make safe decisions autonomously.
11% of digital trust professionals say humans intervene in AI decision-making only when alerted to potential issues.
69% of employees in the manufacturing industry have received training on AI safety and data security.
97% of employees recognizes that education in AI safety and data security is important for employees in the workplace.
52% of employees in the education industry have received training on AI safety and data security.
Only 63% of employees have received company-advised or mandated training in AI safety and data security.
54% of employees in the retail 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.
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.
80% of employees in the financial services 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.
58% of employees in the healthcare and pharmaceuticals industry have received training on AI safety and data security.