CVE-2023-1625

Behavior analytics on query activity can detect inference attempts but does not prevent exposure at query time.

Least-privilege query permissions directly limit the data an attacker can request or infer.

Protecting data-in-use reduces what remains available for inference via queries.

Classification helps identify sensitive data that must be protected from inference attacks.

A.5.15 defines governance, policies, requirements and rules for access control (including need-to-know and classification consistency) but does not itself enforce, implement or act on those rules to stop statistical inference from data queries; per the owner's labeling rule, this is a dependency for other controls (e.g. actual access enforcement or DLP) rather than a prevention effect.

A.5.18 governs the provisioning, review, and revocation of authorized access rights; it has no bearing on whether an attacker can statistically infer confidential information from data queries, which is a disclosure weakness unrelated to access-right decisions.

Data masking prevents inference by obscuring sensitive values returned in query results.

DLP can detect and block queries or result sets that risk exposing sensitive information.

Logging query activity supports detection of inference attempts after the fact.