AI & Machine Learning

The Most Valuable Data in Your AI Stack Is the Stuff You Fed It

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Recent events highlight a critical vulnerability in AI deployments: data is frequently leaving organizations without authorization. This poses a significant risk to businesses, as sensitive information entered into AI tools can be used for training, accessed by third parties, or even quietly collected, as demonstrated by the discovery of an ad collector embedded within ChatGPT. To mitigate this, companies should treat AI tools as public channels and prioritize data ownership by inventorying outgoing data, maintaining local copies of critical information, and ensuring data export capabilities.

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