AI requires data that is accessible, organized , governed, and secure . When storage is disorganized or exposed to the internet, AI becomes slow, expensive, and prone to risks . In contrast, when storage is private, structured, and well-described with metadata, AI operates faster, is more cost-effective, and maintains compliance . This focus is not just on sophisticated models ; it centers on how we store and transfer data . The foundation shapes the outcomes. AI alters the risk profile by consuming data rapidly and broadly . It is advisable to treat storage as a private system by default, regularly discover sensitive data, and integrate these insights into your indexing rules . The use of Private Endpoints, combined with Defender for Storage for malware scanning, and applying immutability provides the basic security feature for Azure Storage . It’s important to implement them from day zero and not to delay them . It is more cost-effective to implement them fr...
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