Implement AI data security

Data security is crucial for AI because AI systems can exacerbate existing issues with data classification, permissions, and governance. As AI makes data discovery easy, any problems with data handling are magnified, leading to potential data leakage, and unauthorized access. AI not only relies on data but also creates new data that gains value, making it a target for attackers who want to steal secrets or cause harm. Therefore, although data security isn't a new issue, AI makes getting data security right even more critical. Access control decisions should never be devolved to the AI system. AI should only have access to the same data as the user it's acting on behalf of.


vmware vsphere install configure manage v8 icm malaysia

Comments

Popular posts from this blog

Azure built-in roles for tables

Explore Dataflows Gen2 in Microsoft Fabric

Select and configure an appropriate method for access to Azure Blobs