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ShadowX combines data protection, monitoring the use of AI tools within organizations, and securing models and agents in a single platform that can be deployed on-premises or in the cloud. The company targets the banking, government, and technology sectors, where sharing sensitive data with AI tools poses a growing regulatory and security challenge.
The article argues that AI policies alone do not prevent unauthorized use because developers will turn to faster tools when official channels are slow or unclear. It proposes shifting responsibility toward practical controls within repositories, review processes, training, and measurement, while assigning clear human owners for each use case.