Chapter 10 - Contents
CHAPTER 10 : Data Privacy and Protection
Chapter 10 - Contents
This chapter is for you if…
Use this chapter if you:
- Struggle to track who processes what personal data, where it flows, and under which legal bases
- Need a clearer connection between privacy, security, TPRM, and regulatory change
- Have RoPAs, DPIAs, and assessments scattered across documents, spreadsheets, and teams
- Want a practical way to show regulators and customers that your data protection program is structured and trustworthy
This chapter applies the shared GRC objects (processing activities, services, data, vendors/engagements, risks, controls, issues, evidence) introduced in Chapter 2, and the risk lifecycle from Chapter 3, to the world of privacy.
It treats privacy as a business process at the intersection of legal, technical, and third-party dependencies—not as an isolated compliance exercise.
Chapter Introduction
TL;DR – Key Takeaways from Chapter 10
i. Privacy depends on accurate service and data context
You cannot manage privacy without knowing where data is processed, by whom, and for what purpose.
ii. RoPAs and DPIAs work best as structured risk processes
Treating privacy artefacts as living risk tools improves quality and usefulness.
iii. Third parties and transfers are central to privacy risk
Most privacy risk sits in vendor relationships and cross-border processing, not internal systems alone.
iv. Privacy incidents must feed back into design
Breaches and near misses should update risks, controls, and processing records, not sit in isolation.
What Data Privacy and Protection Are Really For
A strong privacy program helps the organization:
- Understand where personal data lives and how it moves
- Ensure those processing activities follow legal bases and obligations
- Identify and mitigate risks to individuals (and by extension, to the organization)
- Make good decisions about vendors, systems, and new uses of data
- Respond confidently to incidents, rights requests, and regulator questions
In practice, privacy depends on accurate, shared information about:
- Services and processes
- Vendors and engagements
- Data categories and volumes
- Systems, integrations, and access
- Controls, evidence, and issues
If any one team tracks this alone, gaps appear immediately.
Privacy as Part of the Shared GRC Model
In earlier chapters, several core objects were introduced:
- Services and processes
- Risks and scenarios
- Controls and evidence
- Vendors and engagements
- Issues and actions
Privacy adds two more that fit naturally into that model:
- Processing activities
- Data categories and attributes
All privacy work—RoPAs, DPIAs, LIAs, reviews, consent, and cross-border assessments—should anchor to these objects.
This makes privacy work traceable, reusable, and compatible with TPRM, cyber risk, and regulatory change.
Building a Usable Record of Processing Activities (RoPA)
A RoPA isn’t valuable because it exists—it’s valuable because it is accurate and used.
A practical RoPA records, for each processing activity:
- Purpose of processing
- Service or business process supported
- Data categories and subjects involved
- Systems and vendors used
- Regions where processing occurs
- Legal basis
- Relevant controls and evidence
- Risks and associated DPIAs
Instead of treating the RoPA as a large spreadsheet, use it as a data object that lives in your GRC or privacy platform, connected to:
- Vendors (via engagements)
- Security and TPRM assessments
- Data flows
- Issues and incidents
- Controls
- Regulatory change items
This makes the RoPA the backbone of your privacy program, not an administrative burden.
Data Mapping As The Foundation
You cannot do privacy well without understanding data flows.
Data mapping should be:
- Simple enough to maintain
- Detailed enough to support DPIAs, incident investigations, and vendor due diligence
- Linked directly to processing activities and engagements
Even if visual diagrams are produced, the structured data behind them should include:
- Where data enters (forms, imports, integrations)
- Where it is stored
- Where it is sent (vendors, systems, reports)
- Where it leaves the ecosystem
- Access types and roles involved
This feeds directly into cyber risk (attack surface), TPRM (vendor scope), and resilience (dependencies).
DPIAs as Structured Risk Assessments
A DPIA is not a separate risk process. It is the generic risk lifecycle applied to privacy-specific risks to individuals.
For each DPIA:
- Identify: What changes? What data? What processing? What could go wrong?
- Define: Describe risks as scenarios (cause → event → impact on individuals).
- Assess: Impact and likelihood using privacy-consistent scales.
- Treat: Controls, design changes, vendor terms, data minimization, pseudonymization.
- Monitor: Trigger reassessment for material changes in scope, data, vendors, or regions.
- Govern: Record outcomes, legal basis, and decisions; make them discoverable.
When DPIAs feed into the same issues and actions register used by cyber, TPRM, and audit, privacy becomes naturally embedded in the broader GRC program.
Legal Bases and Consent Management
Privacy obligations differ by jurisdiction, but most share a few core ideas:
- Define the legal basis for each processing activity
- Explain the rationale for that basis
- Show the evidence (consent logs, contracts, policy references)
- Track changes in purpose, data category, or jurisdiction
Your GRC or privacy platform should make it easy to:
- See legal bases by service, data category, vendor, or region
- Identify where consent or contract updates are required
- Link legal bases to controls and evidence
This ensures that changes in product, marketing, or customer experience naturally trigger privacy reviews—not after-the-fact corrections.
Third Parties and International Transfers
The privacy, cyber, and TPRM chapters intersect heavily when personal data leaves your environment.
You should be able to answer:
- Which engagements process personal data?
- Which data categories and subjects are involved?
- In which regions is the data stored or accessed?
- What transfer mechanism applies (SCCs, adequacy, BCRs)?
- What controls and evidence demonstrate compliance?
In the shared model:
- Vendors are vendors
- Their services are engagements
- Processing activities link to these engagements
- Cross-border rules become attributes of those engagements
This avoids duplicating work between privacy, legal, TPRM, and cyber.
Incident Handling and Breach Response
A privacy incident is a service-impacting scenario with additional obligations.
Use the same incident and root-cause processes described in Cyber and Enterprise Risk, but capture privacy-specific details:
- What data was affected?
- Which subjects?
- How sensitive is the data?
- Which jurisdictions?
- Which regulators require notification?
- What evidence supports your timeline and decisions?
Ensure privacy incidents flow into:
- The central issues and actions register
- Risk assessments (if they reveal missing or ineffective controls)
- Vendor and engagement reviews (if a third party was involved)
- Regulatory change monitoring (if the event reveals new guidance or expectations)
This prevents privacy incidents from becoming isolated investigations.
Interfaces With Other Chapters
Privacy touches almost every part of the GRC ecosystem:
- Risk Management Excellence: DPIAs follow the same lifecycle as other risk processes.
- Cyber Risk and Resilience: Most privacy risks are triggered by cyber failures; most cyber incidents have privacy impacts.
- Third-Party Risk Management: Vendor and engagement records feed directly into privacy assessments and cross-border decisions.
- Compliance and Regulatory Change: New privacy regulations and guidance flow through the same change pipeline.
- Internal Audit Integration: Privacy controls, processes, and decisions are subject to thematic audits and evidence testing.
Handled this way, privacy becomes a shared language and shared model, not a siloed documentation exercise.
Metrics that Matter for Privacy
Track metrics that reflect accuracy, responsiveness, and maturity, for example:
- Percentage of processing activities with complete, current RoPA entries
- Percentage of high-risk processing activities with DPIAs completed and reviewed
- Time from identifying a material change to updating RoPA, DPIA, and controls
- Number of privacy-relevant incidents, and how many triggered changes in controls or vendor terms
- Coverage of cross-border transfers and evidence of appropriate mechanisms
- Percentage of privacy-related actions completed on time
These metrics work well in both privacy steering groups and enterprise-risk reporting.
Practical Next Steps
To strengthen data privacy and protection:
- Build or refine your processing activity inventory using the shared GRC objects
- Map personal data categories, systems, and vendors to those activities
- Ensure high-risk activities have DPIAs aligned to the scenario-based risk model
- Link privacy controls to your internal control framework and evidence standards
- Integrate privacy checks into change, vendor onboarding, and project approval flows
- Make sure issues and actions flow into the same central register used by cyber, TPRM, audit, and risk
Handled this way, privacy becomes part of how you operate—not a compliance afterthought.
Continue to Chapter 11- GRC Strategy and Maturity
See how this works in practice
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