Privacy Engineering

Privacy across technology stacks (infrastructure, endpoints, connectivity, secure development, APIs and cloud-native services), privacy-related security controls, and privacy controls such as consent tagging, tracking technologies, anonymization, PETs and AI/ML.

5 minutes 5 Questions

Privacy Engineering, as framed in ISACA's Certified Data Privacy Solutions Engineer (CDPSE) certification, is the discipline of turning privacy principles, laws, and policies into concrete technical and operational controls built into systems, applications, and processes. It does not treat privacy …

Concepts covered
Anonymization and Re-identification RiskIoT and Connected Device PrivacyFederated Learning, Synthetic Data, and Other PETsCloud-Native Services and Microservice Data FlowsNetwork Architecture and Segmentation for PrivacyInventory of Assets Processing Personal InformationEncryption at Rest and in TransitSecure Communication and Transport ProtocolsPseudonymization and TokenizationAuthentication and Privileged AccessAsset Ownership and Life CycleRemote Access and Wireless ConnectivityPrivacy Requirements in the Secure Development Life CycleHomomorphic Encryption and Secure Multiparty ComputationData Loss PreventionPrivacy Risks in AI and Machine LearningHashing and SaltingPropagating Consent Withdrawal Across SystemsPrivacy-Safe LoggingMonitoring Access to Personal InformationPrivacy Constraints of Legacy SystemsShared Responsibility and Data Residency in the CloudDe-identification Models such as k-AnonymityLeast Privilege and Role-Based Access to Personal DataPrivacy Testing and Use of Test DataPrivacy in Agile and DevOps PipelinesCryptographic Key ManagementTransparency, Explainability, and Fairness in AISystem Hardening and Secure ConfigurationAPI Design and Personal Data ExposureAccess Reviews and RecertificationConsent Tagging and Preference ManagementPixels, Fingerprinting, and Other Tracking TechnologiesPrivacy in Cloud Service and Deployment ModelsPatch and Vulnerability ManagementDifferential PrivacyGoverning Training Data for AI SystemsEndpoint and Mobile Device PrivacyCookies and Cookie Consent Management
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CDPSE - Privacy Engineering Example Questions

Test your knowledge of Privacy Engineering

Question 1

An enterprise must deploy a critical operating system security update to thousands of employee laptops used to access customer personal information. Earlier updates broke business applications and disrupted data handling across the workforce. The privacy engineer wants to close the vulnerability quickly while limiting the impact of an unforeseen failure. Which deployment approach is BEST?

Question 2

In remote access VPN connections, what does the term "DNS leak" refer to, and why is it a privacy concern?

Question 3

An enterprise's network and endpoint data loss prevention (DLP) controls inspect files that users upload. A privacy engineer finds that a sanctioned cloud CRM sends customer personal information (PI) to a cloud marketing platform through a server-to-server API integration, and no current DLP control sees these transfers. Which DLP deployment BEST brings this dataflow under monitoring?

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