Server Hardening

Server hardening refers to the systematic process of reducing a server's attack surface by disabling unnecessary services, applying security patches, configuring firewalls, and enforcing access controls. In AI governance contexts, hardened servers that host machine learning models, training data, and inference infrastructure are critical to protecting sensitive information and preventing unauthorized model access or manipulation. Organizations implementing AI compliance frameworks must include server hardening as part of their broader security posture to meet regulatory requirements and safeguard against threats that could compromise model integrity or data confidentiality.

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