Cloud Security Alliance Updated CCSK Exam Questions and Answers by oisin

The principle of least privilege limits access to only necessary permissions, reducing the risk of misuse and exposure of sensitive data. Reference: [CCSK v5 Curriculum, Domain 5 - IAM]

Auditing is an independent review process that validates adherence to policies, regulations, and standards. It is essential in assessing security posture. Reference: [Security Guidance v5, Domain 3 - Compliance][16†source].

Compliance inheritance refers to the practice in cloud compliance where a customer leverages a set of pre-approved regulatory or standards-based controls that have been established and validated by a compliant cloud provider. Essentially, the cloud provider implements these controls, and the customer inherits the provider's compliance framework to meet their own regulatory requirements. This allows customers to benefit from the provider’s compliance efforts without having to implement everything themselves.

Automated compliance refers to automating compliance tasks and processes but does not describe the practice of inheriting compliance controls. Attestation inheritance is not a standard term used in cloud compliance; attestation typically refers to formally certifying or declaring compliance. Audit inheritance would relate to the inheritance of audit reports or records, but it doesn't describe the broader process of inheriting compliance controls.

Differential privacy is a strategy designed to protect data confidentiality by ensuring that the output of a machine learning model does not expose sensitive information about individual data points. In the context of model inversion attacks, where attackers try to infer confidential data from the model, differential privacy introduces noise into the model’s output in a way that prevents attackers from accurately reconstructing the input data. This helps safeguard against attacks that threaten the privacy of the data used to train the model.

Secure multi-party computation is useful for enabling collaborative computation on encrypted data but does not specifically address model inversion attacks. Encryption is important for securing data at rest or in transit but does not directly protect against model inversion attacks. Model hardening refers to general measures to make models more robust to adversarial attacks, but it does not directly mitigate the specific risk of model inversion attacks related to data confidentiality.