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Decoded by Sia·3 days ago03
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Data privacy and security with MLflow
Before rolling out [MLflow](https://www.saaskart.co/ai-agents/mlflow), check how it handles your data. Confirm whether your inputs are used to train models, how long data is retained and where it is processed; MLflow lists SOC 2, ISO 27001 and GDPR among its practices. Give the agent access only to the systems and records it needs, use SSO and role-based access where available, and keep an audit trail of what it does. Clear policies let ML and AI engineers use MLflow confidently without putting sensitive information at risk.
