- Thales questioned more than 3,000 IT experts on the generator
- Researchers have found many concerns about security
- Despite concerns, companies accelerate adoption
Despite this as a major innovation engine, companies are extremely concerned with threats to artificial intelligence security (AI). This is in accordance with the Thales 2025 data threat report, the company’s annual annual report on the latest data security threats, trends and emerging subjects.
Based on a survey of more than 3,100 IT and security professionals in 20 countries and in 15 industries, the Thales report revealed that almost 70% of organizations consider the rapid advancement of AI as their greatest security risk. The generative AI, which can create text and images from simple text prompts, is a particular concern.
More deeply in these ideas, integrity and reliability problems appear as major challenges. Almost two thirds (64%) of respondents are concerned about the lack of integrity of the AI, while 57% cited “reliability” as a major challenge. In addition, like different Genai functions such as training, inference or generation of content depend on the data provided by the User, the respondents expressed their concerns concerning the increase in exposure to data security risks.
Cisa added faults to Kev
Regardless of these concerns, organizations are still accelerating their adoption in AI, also explains the report, suggesting that this puts them at unnecessary risks. In fact, a third of companies actively integrate Genai into operations despite not guaranteeing full security of their systems. Expenditure on Genai has become one of the main priorities for organizations, only after cloud safety.
“The Genai landscape evolving quickly puts pressure on companies to move quickly, sometimes at the cost of caution, while they rush to stay ahead of the adoption curve,” said Eric Hanselman, chief analyst of S&P Global Market Intelligence 451 Research. “Many companies deploy Genai faster than they can understand their application architectures, aggravated by the rapid spread of SaaS tools incorporating Genai capacities, adding layers of complexity and risk.”
Almost three -quarters (73%) of professionals said they had invested in specific IA security tools with new or existing budgets, concluded the Thales report.
