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97% of companies restrict the use of AI by their employees

A recent report from Fortanix reveals that while 97% of companies restrict the use of generative AI, 95% of professionals use it

97% of companies restrict the use of AI by their employees
Agencias

Agencias

  • February 22, 2025
  • Updated: February 22, 2025 at 9:40 PM

A recent report from Fortanix reveals that 97% of companies block or restrict the use of Generative AI (GenAI), while 89% of surveyed executives believe that these control measures are effective.

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Despite these restrictions, 95% of professionals are already using some form of artificial intelligence, and a notable 66% are employing GenAI in their work, with 64% accessing these tools through personal email accounts.

The report, which is based on the opinions of 1,000 executives, also notes that the pressure to adopt GenAI is palpable. 74% of executives feel they must implement these solutions imminently, and 88% have budget allocated for it. This pressure mainly comes from senior management, boards of directors, and market competition.

Fear of using GenAI: why?

However, this interest in the implementation of GenAI occurs in a context of significant concerns about data security. According to the report, 87% of security executives reported having faced a data breach in the past year.

Despite this, both business and IT executives (82% and 81%, respectively) believe that their company must advance in the use of GenAI, surpassing security executives who see this need in 56% of cases.

Anuj Jaiswal, product director at Fortanix, points out that while many organizations do not fully understand the complex data security issues related to this technology, it is essential to move forward with confidence.

Fortanix proposes that, through a unified and scalable platform, organizations can manage encryption and password management from a single interface.

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Regarding the main concerns about the implementation of GenAI, both business executives and those from IT and security agree that the accuracy of the models is one of the main concerns, with IT executives also prioritizing data security and privacy as a key issue.

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