As artificial intelligence becomes more deeply embedded in business operations, companies are facing growing pressure to rethink how they deploy the technology and who controls the systems on which they increasingly rely. McKinsey’s August 2026 State of AI survey of 1,719 respondents across 97 countries found that 60 percent expected their organizations to increase AI investment over the following year. As businesses commit more resources to AI, questions around data security, ownership, infrastructure and dependence on external technology providers are becoming increasingly important.
These concerns are bringing AI sovereignty into sharper focus. AI sovereignty refers to an organization's ability to control its AI infrastructure, data, models and governance policies, rather than relying entirely on external providers. This can involve hosting AI systems on company premises or in private and sovereign cloud environments, allowing businesses to retain greater oversight of how their technology operates and how sensitive information is handled.
One of the main drivers behind this approach is the risk of exposing confidential business information through public AI tools. Employees may inadvertently share customer proposals, internal reports or proprietary technology without understanding how that data is processed or stored. IBM's Cost of a Data Breach Report 2026 found that one in four malicious breaches were AI-enabled, while more than 20 percent of organizations reported breaches targeting AI models or applications.
The global average cost of a data breach reached $4.99 million. For some businesses, addressing these risks means moving away from public AI tools toward systems that operate within their own secure environments. This can give organizations greater control over where their data is stored, who can access it and which AI models they use.
Andre Palaguine, CEO of Language Intelligence Corporation, argues that companies need to rethink their approach to AI as the technology becomes a fundamental part of their operations. "Sovereignty starts with security, but it also requires control and governance. If I control the AI, if I can govern it, and if it operates in a secure environment, then I know that it belongs to the organization," Palaguine told Newsweek.
His company develops Fluent, a multilingual AI platform designed to operate on-premises or within private and sovereign cloud environments. The platform separates its application layer from individual large language models (LLMs), allowing organizations to work with different underlying models without rebuilding their entire technology infrastructure. Palaguine says this approach also addresses the risk of exposing sensitive information through public AI systems.
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