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- Thales investigated more than 3,000 IT experts about generative AI
- The researchers found a lot of concern about security
- Despite the worries, companies accelerate acceptance
Although they have seen it as an important innovation board, companies are overwhelming about the security threats of artificial intelligence (Ai). This is according to the 2025 Thales Data Threat ReportThe company’s annual report on the latest threats, trends and emerging topics of data security.
Based on a study, including more than 3,100 IT and security professionals in 20 countries and in 15 industries, the Thales report showed that almost 70% of the organizations consider the rapid progress of AI as their largest security risk. Generative AI, which can make text and images from simple text prompts, is a special concern.
Drill deeper in these ideas, integrity and reliability problems arise as major challenges. Almost two -thirds (64%) of the respondents are concerned about the lack of integrity of AI, while 57% called ‘reliability’ as a major challenge. Since various Genai functions such as training, inference or generating content are dependent on data supplied by the user, the respondents have also expressed their concern about increasing exposure to data safety risks.
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Regardless of these concerns, organizations still accelerate their AI acceptance, explains the report further, and hinted that this brings them to an unnecessary risk. In fact, a third of the Genai companies actively integrate into activities, despite the fact that they have not guaranteed the complete security of their systems. Expenditure on Genai has become one of the most important priorities for organizations, the second only for cloud protection.
“The rapidly evolving Genai Landscape is under pressure from companies to move quickly, sometimes at the expense of caution, while they are racing to stay ahead of the adoption curve,” said Eric Hanselman, chief analyst at S&P Global Market Intelligence 451 Research. “Many companies implement Genai faster than they can fully understand their application architectures, exacerbated by the rapid spread of Saas tools that embed Genai possibilities, adding layers of complexity and risk.”
Almost three-quarters (73%) of the professionals reported investing in AI-specific security tools with new or existing budgets, concluded the Thales report.
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