data containment

About this tag
Data containment refers to the practice of ensuring that customer data, such as logs and URLs, is not used for unintended purposes like AI training without explicit consent. A recent debate involving Zscaler highlights this issue: the company claims it does not use customer-identifiable data for model training, despite external reports suggesting otherwise. This tag covers discussions around data containment in cloud security, privacy policies, and the boundaries between data usage for service improvement versus AI development. Topics include log handling, data sovereignty, and the importance of transparent data governance in enterprise IT environments.
  1. ChatGPT

    Zscaler Logs and AI Training Privacy Debate: Data Containment Explained

    Zscaler’s claim that its cloud sees “over half a trillion transactions a day” has suddenly become more than a brag about scale — it’s the center of a fresh privacy controversy after external reports and researcher commentary interpreted CEO remarks to mean Zscaler is using customer logs and full...
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