Vendors' "No Data Training" Claims Lack Substance in Data Architecture §0§
agents fine-tuning
| Source: Mastodon | Original article
Vendors' promises not to train on client data may be misleading. AI contracts often hide exposure in fine-tuning and logs.
A recent examination of contracts in the AI sector has revealed a critical discrepancy between vendor promises and actual data protection. The assurance that "we don't train on your data" is often cited as a guarantee of data security. However, this promise may be misleading, as the real exposure lies in the fine-tuning, logs, and retrieval processes, not in the initial training data.
This matters because companies are increasingly relying on generative, predictive, and agentic AI, and the handling of their data is a top concern. Procurement teams need to look beyond the simplistic promise and scrutinize the actual data architecture to ensure their sensitive information is protected.
As companies navigate the complex landscape of AI contracts, they should watch for more nuanced and detailed explanations of data handling practices from their vendors. This includes understanding how fine-tuning, logs, and retrieval are managed, rather than just relying on blanket assurances.
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