Data Ingestion Risk
The danger that sensitive or proprietary information will be permanently absorbed into an AI model's training set during a user's interaction.
This is a primary risk of unsanctioned AI. If a provider's terms allow them to use prompts for model improvement, any pasted data becomes part of the model's parametric knowledge. Unlike a file on a server, this data cannot be deleted through standard IT procedures once the training cycle is complete, leading to potential long-term intellectual property leaks.
An engineer pastes proprietary source code into a public AI tool to debug it. The code is ingested and used to train the next version of the model - potentially allowing competitors to prompt the AI for similar logic in the future.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
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How is Enzai different from other governance tools?
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