2025 Thales Data Threat Report Reveals Nearly 70% of Organizations Identify AI’s Fast-Moving Ecosystem as Top GenAI-Related Security Risk>

(BUSINESS WIRE) -- Thales today announced the release of the 2025 Thales Data Threat Report, its annual report on the latest data security threats, trends, and emerging topics based on a survey conducted by S&P Global Market Intelligence 451 Research of more than 3,100 IT and security professionals in 20 countries across 15 industries. This year’s report found that nearly 70% of organizations view the rapid pace of AI development1 —particularly in generative AI—as the leading security concern related to its adoption, followed by lack of integrity (64%) and trustworthiness (57%). The 2025 Thales Data Threat Report results reveal a major focus on the transformative impact of AI, especially GenAI, which relies heavily on high-quality, sensitive data for functions like training, inference, and content generation. As agentic AI emerges, ensuring data quality becomes even more critical for enabling sound decision-making and actions by AI systems. Many organizations are already adopting GenAI, with a third of respondents indicating it is either being integrated or is actively transforming their operations. Organizations Embrace GenAI, Taking on Greater Sec...(BUSINESS WIRE) -- Thales today announced the release of the 2025 Thales Data Threat Report, its annual report on the latest data security threats, trends, and emerging topics based on a survey conducted by S&P Global Market Intelligence 451 Research of more than 3,100 IT and security professionals in 20 countries across 15 industries. This year’s report found that nearly 70% of organizations view the rapid pace of AI development1 —particularly in generative AI—as the leading security concern related to its adoption, followed by lack of integrity (64%) and trustworthiness (57%). The 2025 Thales Data Threat Report results reveal a major focus on the transformative impact of AI, especially GenAI, which relies heavily on high-quality, sensitive data for functions like training, inference, and content generation. As agentic AI emerges, ensuring data quality becomes even more critical for enabling sound decision-making and actions by AI systems. Many organizations are already adopting GenAI, with a third of respondents indicating it is either being integrated or is actively transforming their operations. Organizations Embrace GenAI, Taking on Greater Sec...{}