Training module
Auditing Privacy Risk & Impact Assessment
Evaluate whether privacy risk assessments and DPIAs produce credible risk understanding and prioritisation in an ISO/IEC 27701 PIMS
Do DPIAs exist but privacy risks still surface unexpectedly?
Privacy risk assessments often appear thorough while real data processing risks remain poorly understood. This module develops the capability to test whether privacy risk and impact assessments produce credible insight into privacy risks and meaningful prioritisation.
Overview
What this module is about
Privacy risk and impact assessments form the analytical foundation of privacy information management systems. They identify how personal data processing can affect individuals, evaluate the likelihood and severity of harm, and establish priorities for risk treatment and governance decisions.
In practice, privacy risk and impact assessments often appear structured while their analytical value remains limited: processing activities are incompletely described, risk reasoning is inconsistent, impact analysis is superficial, and assessments become compliance artefacts rather than decision tools.
This module develops the capability to audit whether privacy risk and impact assessments credibly analyse processing activities and associated risks. Participants first review how privacy risk assessment and data protection impact assessments function within a privacy information management system, then learn how auditors test analytical completeness, risk reasoning, and impact evaluation evidence.
Audience
Who it is for
Management system implementers and coordinators
Executives and department heads accountable for management system performance
Those responsible for processes, policies, assets, risks and controls
Auditors seeking insight into management-side practice, not audit technique
Consultants working on management system design, governance or improvement
Decision supportIs this module for you?
It is a good fit if you…
audit privacy risk assessments or DPIAs within privacy information management systems.
seek to judge whether privacy risks are identified and prioritised credibly.
want to test analytical completeness and impact reasoning in DPIAs.
need to evaluate how processing activities are analysed from a privacy risk perspective.
expect to strengthen audit conclusions on privacy risk analysis effectiveness.
It may not be the best fit if you…
prefer to conduct privacy risk assessments or DPIAs yourself.
are looking for methods to design privacy controls or safeguards.
focus primarily on privacy engineering or compliance implementation.
do not intend to audit privacy risk and impact assessments.
What to bring
This module assumes participants can perform basic audit activities and apply evidence-based judgement.
Helpful background includes:
General understanding of privacy concepts and personal data processing
Ability to follow audit trails across documentation, systems, and organisational processes
Basic familiarity with privacy risk assessments or DPIAs
Agenda
What is taught
7 parts01Privacy risk and impact assessment in a PIMS
How privacy risk assessments and DPIAs analyse personal data processing activities and establish risk understanding within a privacy information management system
02Effective auditing of privacy risk and impact assessment
How auditors judge whether privacy risk analysis produces credible understanding rather than relying on documentation completeness
03Processing activity identification and scope
How to evaluate whether privacy risk assessments correctly describe processing activities, purposes, data categories, actors, and data flows
04Privacy impact reasoning
How to test whether impact analysis considers risks to individuals across confidentiality, misuse, discrimination, or other harms
05Likelihood and risk evaluation logic
How to evaluate whether risk likelihood and severity assessments are consistent and supported by credible reasoning
06Completeness of privacy risk analysis
How to detect omitted processing scenarios, overlooked stakeholders, or missing lifecycle stages in privacy risk assessments
07Common DPIA failure patterns
How to detect template-driven assessments, superficial analysis, or organisational bias in privacy risk evaluation
Outcomes
Learning outcomes
01
Assess whether privacy risk assessments and DPIAs identify relevant processing activities and risks
02
Test impact reasoning and likelihood assessments for consistency and plausibility
03
Trace privacy risk conclusions to underlying processing activities using defensible audit evidence
Evaluate whether impact analysis credibly considers risks to individuals rather than organisational risk only
Detect common privacy risk assessment failure patterns such as template-driven assessments or incomplete processing descriptions
Select meaningful sampling targets when auditing privacy risk and impact assessments
Formulate defensible audit conclusions on the credibility and usefulness of privacy risk analysis
Materials
The content and the assessment
Written module
The full content in writing, complete in itself. Videos are recorded for parts of it as an alternative way through, and the written module always carries everything.
Exercises
Graded work on the case organisation's own registers: structured answers checked against the encoded case, written answers scored against a rubric traced to it, with a trainer holding the final word on every assessed item.
On completion
The assessed exercises must be passed before the certificate is issued.
Scheduling
No public run of Auditing Privacy Risk & Impact Assessment is scheduled at the moment. Tell us you are interested and we will let you know when the next one opens, or discuss running it in-house.
Module facts
- Module ID
- HAM-DP-A-01
- Discipline
- Data Protection
- Part of tracks
- Management System Auditor
Case organisation
All modules share one company
Each module enters the company at a particular point in its history and finds it as that history has left it.
Northstar Integrated Services AG is a group headquartered in Zurich, operating in six European countries, with about 1,350 employees at the end of 2025. It provides digital operations platforms and managed operational services to regulated organisations in healthcare, the public sector and industrial services. Founded in 2008 as a field-operations firm serving business customers, it had about twenty-five employees when its first regulated customer, a hospital group, required documented decisions, named accountability and evidence on request. It moved into the platform business in 2016 and in 2024 acquired an operating business in Poland and the Czech Republic, whose legal entity continues inside the group.
Linked registers
Organisation and people, roles, risks, objectives, policies, documents and records, communications, findings, audits and reviews, interested parties, processes
Records, not summaries
The evidence sits in the registers and documents where a real organisation would keep it.
A history
The company has a timeline from 2008, so a structure can be examined before and after it changed.
More than one legal entity
A Swiss parent company and an acquired subsidiary in Poland and the Czech Republic, with customers in several jurisdictions
Why it matters
Judgement develops on material that is incomplete and partly contradictory, as it is in practice. Northstar is built that way on purpose. Because modules enter its history at different points, a governance structure can be seen while it is built, when it is outgrown and when it is rebuilt.
Delivery & dates
How this module reaches you
Delivered live online, combining conceptual framing, discussion, case work and direct interaction with the trainer. In-house and contextualised delivery is available on request.
No public run is scheduled at the moment. Most modules run on request as well as on the public calendar, so tell us the timing you need.
Want this module scheduled?
We will tell you when the next run is scheduled, or run this module in-house with your own case material.
Not sure it is the right module?
Describe your context in a short message and we will tell you honestly.