Access Controls
Access Controls refer to the security measures that are put in place to regulate who can access certain resources or perform certain actions within a system. In the context of Data Science and Artificial Intelligence, access controls are used to protect sensitive data and prevent unauthorized access to machine learning models, data sets, and other resources. Access controls can be implemented at various levels, including physical access to hardware, network access, and application-level access. Access controls can also be used to enforce data privacy regulations such as GDPR and HIPAA. Effective access controls are essential for maintaining the confidentiality, integrity, and availability of data and machine learning models.
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