Anonymization

A control the standard adds: the community protects the anonymity of the source of shared information where needed; the originator may conceal the source, a member may conceal itself as originator (4.7), and a supporting entity provides such anonymization more...

Distributed ledger networks that record data from several participants using cryptography, consensus, smart contracts and replication may support GxP processes such as supply chain track and trace, and the guide gives the GxP practitioner considerations for re...

Data masking is to be applied as directed by the access control policy, related topic policies and what the business needs, with applicable law taken into account.

Added HLT control: policies and procedures should ensure that each subject of care has one unique identifier and that duplicate or multiple records for the same subject can be merged. Aim: avoid records and information that are incomplete or inconsistent.

Privacy protection for AI systems includes data minimization, anonymization and pseudonymization, privacy-preserving learning techniques, access control and output controls against inference.

Capabilities to prevent malicious email such as spam and phishing from adversely affecting operations; prohibit ingress and egress communications with known or suspected malicious IP addresses;