ISO/IEC 29134
guidelines for privacy impact assessment
ISO/IEC 29134:2017 (Information technology, Security techniques, Guidelines for privacy impact assessment) is the international methodology standard for the privacy impact assessment (PIA). It is the method GDPR Article 35 DPIAs, ISO/IEC 27701 PIA records, UK ICO DPIA guidance, and many sector privacy regimes read against. The standard names a nine-step process from threshold screening through residual risk decision and follow-up, with a defined consultation discipline, an audit-grade artefact set, and a material-change trigger that keeps the assessment register current rather than launch-date frozen. This page covers the scope, the nine-step process, the operating-record artefacts, the failure modes the standard surfaces, the relationship with GDPR, UK GDPR, ISO/IEC 27701, ISO/IEC 27001, the NIST Privacy Framework, SOC 2, HIPAA, and PCI DSS, and the audit-grade evidence pack the programme produces.
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ISO/IEC 29134 explained for privacy, GRC, and security teams
ISO/IEC 29134:2017 (Information technology, Security techniques, Guidelines for privacy impact assessment) is the international methodology standard for conducting a privacy impact assessment (PIA). It is referenced by GDPR Article 35 DPIA guidance, by the controller and processor annexes of ISO/IEC 27701, by the UK ICO DPIA guidance, and by sector privacy regimes around the world as the methodology that produces the assessment evidence the regulator expects. The standard does not prescribe a tool, a form, or a single template; it names the inputs, the analysis steps, the outputs, the consultation discipline, and the residual risk decision shape so the assessment is reproducible across systems, sectors, and jurisdictions.
For privacy officers and data protection officers accountable for the PIA discipline, GRC and compliance teams producing the assessment evidence, security architects credited as control owners inside the PIA, engineering and product teams whose systems trigger screening, legal counsel reading the consultation record, and CISOs at organisations read against by GDPR supervisory authorities, the ICO, the FTC, sector regulators, customers under data sharing agreements, and certification bodies, ISO/IEC 29134 is the methodology reference the discipline reads against. The standard is the international anchor that the Article 29 Working Party DPIA guidance (WP248 rev.01), the EDPB Guidelines on DPIA, the UK ICO DPIA guidance, the NIST Privacy Framework v1.0, and the privacy-criteria reads inside SOC 2 and ISO 27701 audits all hand off into on the operating-method side.
This page walks through the scope of the standard, the nine-step PIA process the standard names, the operating-record artefacts the programme produces, the failure modes the standard surfaces, the relationship with adjacent regimes (GDPR, UK GDPR, ISO/IEC 27701, ISO/IEC 27001, the NIST Privacy Framework, sector regimes), the audit-grade evidence pack the programme produces, and where ISO/IEC 29134 sits alongside the DPIA template, the compliance audit operating workflow, and the audit fieldwork evidence request workflow. Programmes that adopt ISO/IEC 29134 as the PIA method produce an assessment register that holds up across GDPR Article 35, the ISO 27701 audit, the SOC 2 privacy criteria, sector privacy reviews, customer due diligence, and internal audit reads on one operating record.
What ISO/IEC 29134 covers
The standard is the international methodology anchor for the privacy impact assessment as a structured discipline. It is broader than any single regulator template and narrower than the wider privacy management system; the boundary is the impact-assessment lifecycle from threshold screening through residual risk decision and follow-up. Read sequentially across the document, the standard answers the question of how an organisation operates a PIA as a repeatable method rather than as a system-by-system improvisation.
Methodology, not regulation
ISO/IEC 29134:2017 (Information technology, Security techniques, Guidelines for privacy impact assessment) is the international methodology standard for conducting a privacy impact assessment (PIA). It is not a legal text and not a certification scheme; it is a structured method the privacy programme reads against when a processing activity, a new system, a system change, or a third-party integration crosses a PIA threshold. The standard names the inputs, the analysis steps, the outputs, and the operating discipline. Programmes choose the trigger thresholds, the depth, the participants, and the residual risk decision authority based on their own regulatory and contractual exposure.
PIA covers more ground than DPIA
A privacy impact assessment under ISO/IEC 29134 covers any personally identifiable information (PII) processing context. A data protection impact assessment (DPIA) under GDPR Article 35 is one regulatory species of PIA, scoped to processing likely to result in a high risk to the rights and freedoms of natural persons. Programmes operating under GDPR run their DPIAs against the 29134 method and inherit the structure for non-DPIA PIAs at the same time. Programmes outside the GDPR perimeter (UK, US, APAC, Latin America) read the same method against their own regulatory regimes.
Aligns with the wider ISO privacy family
ISO/IEC 29134 sits inside a family of related privacy standards. ISO/IEC 29100 (Privacy framework) names the principles and the actor model. ISO/IEC 29151 (Code of practice for personally identifiable information protection) names the controls. ISO/IEC 27701 (Privacy information management systems) names the management system. ISO/IEC 27018 names cloud processor controls for PII. The PIA method in 29134 is the impact-assessment leg of this family and is the one the management system, the controls, and the regulatory regimes all read against when a new processing activity is being scoped.
The nine-step PIA process
ISO/IEC 29134 names a nine-step process. The steps are not separate exercises; they are stages on the same PIA record, each with named outputs the next step reads against. Threshold and screening produces the open-or-close decision; preparation and scoping produces the scope statement; description of the processing produces the data flow; necessity and proportionality produces the prior question of whether the processing should exist in its current shape; risk identification, evaluation, and treatment produce the residual risk picture and the treatment plan; the PIA report and residual risk decision produce the named accountable signature; and implementation and follow-up produce the closure cycle and the material-change discipline.
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Step 1: Threshold and screening
Decide whether a PIA is needed for the processing activity. The screening question set covers the categories of PII, the volume, the geographic scope, the data subject vulnerability, the use of novel technologies, automated decision-making, cross-border transfers, third-party integrations, public surveillance, the necessity and proportionality of the processing, and the residual risk pattern from any prior assessment of the same system. A positive screen opens a PIA record; a negative screen records the rationale on the screening log so the decision is reproducible at audit time.
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Step 2: PIA preparation and scoping
Define the scope of the PIA (which processing operations, which systems, which actors, which jurisdictions), name the PIA owner, name the contributors (privacy, security, engineering, product, legal, business unit, vendor), and document the data flow at a level that lets the next step reason about risk. The scope statement is the artefact every later step reads against; ambiguous scope is the most common cause of a PIA that reaches the residual risk decision and cannot defend the boundary it covered.
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Step 3: Description of the processing
Document the processing operations in structured form: the purposes (each named explicitly), the categories of PII (each named explicitly), the data subjects (each named explicitly), the lawful basis (where the regulation expects one), the recipients (named processors, named sub-processors, named controllers in joint controllership, named third parties under data sharing agreements), the retention periods (per category), the cross-border transfers (the destination country, the transfer mechanism, the recipient role), the security measures envisaged, and the consultation activities. The description is the substrate the privacy risk analysis reasons about.
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Step 4: Necessity and proportionality assessment
Assess whether the processing is necessary for the stated purpose (cannot the purpose be reached with less PII, fewer categories, shorter retention, narrower recipient set), and whether the processing is proportionate (does the benefit justify the impact on the data subjects). This step is the one that surfaces the largest single set of PIA outcomes that change the processing design rather than just adding mitigations. Programmes that skip this step and move straight to risk analysis produce assessments that document risk but not the prior question of whether the processing should exist at all in its current shape.
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Step 5: Privacy risk identification
Identify the privacy risks to data subjects across the established taxonomy: unauthorised access, accidental loss or destruction, unauthorised modification, unauthorised disclosure, unauthorised processing for incompatible purposes, profiling and automated decision-making harms, surveillance harms, discrimination harms, identity harms, financial harms, reputational harms, and psychological harms. Each risk is captured against the affected data subject category, the threat source, the likelihood band, the impact band, and the controls that already exist.
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Step 6: Privacy risk evaluation
Evaluate the residual risk after the controls already in place are credited, against the risk-acceptance criteria the organisation defines (often a likelihood-impact matrix calibrated to the regulatory regime and the contractual environment). The evaluation produces a per-risk decision band (accept, treat, transfer, avoid) the next step operates against.
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Step 7: Privacy risk treatment plan
Define the treatment plan per risk that is not in the accept band: the named control to add or strengthen, the named owner, the implementation date, the verification method, the evidence the verification will produce, and the schedule for revisiting the residual risk decision. The treatment plan is the artefact the operating programme reads against; risks that have no named owner and no named due date stay open in the assessment record but are silently unworked in the operating record.
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Step 8: PIA report and residual risk decision
Produce the PIA report that captures the description, the necessity and proportionality assessment, the risks, the treatment plan, and the residual risk decision. The residual risk decision is the named decision by the named authority (often the data protection officer, the chief privacy officer, the head of GRC, or the controller-side accountable executive) that the remaining risk is acceptable or that the processing will not proceed as scoped. The decision is captured on the PIA record with the named decider, the timestamp, the rationale, and the conditions attached to the acceptance.
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Step 9: Implementation and follow-up
Implement the treatment plan, verify the controls are in place, attach the verification evidence to the PIA record, and schedule the follow-up review. The follow-up cadence is driven by the risk profile of the processing (quarterly for high-residual-risk processing, annually for medium, on material change for low) and by any regulatory or contractual review obligation. Material changes (new processing purpose, new category of PII, new recipient, new cross-border transfer, change of lawful basis, change of retention period, new automated decision-making) trigger a re-opening of the PIA rather than an addendum.
The operating-record artefact set
The standard expects a defined artefact set rather than a single document. The pack below is the minimum durable set most programmes maintain when they adopt ISO/IEC 29134 as the PIA method. Each artefact has a named owner, a refresh cadence, and a version history so reconstruction at audit time is replaced with a continuous operating trail.
- A screening log per candidate processing activity with the screening question outcomes, the named screening owner, the timestamp, and the decision rationale (open a PIA, defer with named criteria, close as out of scope). The screening log is the artefact regulators and internal auditors read to verify the threshold discipline is consistently applied across the processing portfolio.
- A PIA register with one record per assessed processing activity, walking through the nine steps above. Each record carries the scope statement, the data flow description, the necessity and proportionality reasoning, the risk identification, the risk evaluation, the treatment plan, the residual risk decision, the verification evidence, and the follow-up schedule. The register is the artefact the GDPR Article 35 supervisory consultation, the ISO 27701 audit, and the SOC 2 privacy criteria review all read against.
- A data flow description per PIA that records the processing operations in structured form, with named categories of PII, named data subjects, named recipients, named processors and sub-processors, named cross-border destinations, and named retention periods. The data flow is the artefact that lets the next material-change review reason about delta rather than rebuild the description.
- A consultation record per PIA that captures the input from contributors (data protection officer, privacy counsel, security architecture, engineering owner, product owner, vendor management, legal, communications), the input from data subject representatives where the standard expects one, the input from external advisers where engaged, and the input from supervisory authorities where the regulation requires prior consultation. The consultation record is the artefact that turns the PIA from a single-author exercise into the multi-stakeholder discipline the standard expects.
- A risk register entry per identified privacy risk that links to the PIA, the affected processing activity, the threat source, the likelihood band, the impact band, the existing controls, the residual risk, the treatment plan, and the named owner. The privacy risk register feeds the wider enterprise risk register so privacy risk is read against business risk on the same management cadence.
- A residual risk decision record per PIA with the named decision authority, the decision (accept, treat, transfer, avoid), the conditions attached to the acceptance, the rationale, the timestamp, and the supervisory consultation outcome where one was required. The decision record is the artefact that turns the residual risk reasoning into a named accountable decision the audit cycle, the regulator inquiry, and the supervisory consultation process all read.
- A treatment plan ledger per PIA with one entry per risk that is not in the accept band, walking through the named control, the named owner, the implementation date, the verification evidence reference, and the residual risk re-evaluation date. The ledger is the artefact that lets the follow-up cycle reason about closure of the treatments the assessment committed to.
- A material-change log per PIA that captures the changes to the processing activity (new purpose, new category of PII, new recipient, new processor, new cross-border destination, new lawful basis, new retention period, new automated decision-making) and the corresponding PIA re-opening, refresh, or new-PIA decision. The material-change log is the artefact that prevents PIAs from drifting silently out of date as the underlying processing evolves.
- A metric pack reporting against the privacy programme: PIAs opened by trigger, PIAs by status, PIA cycle time per phase, treatment plan closure rate, residual risk decisions by band, follow-up review on-time rate, material-change re-opening rate, and supervisory consultation count. The metric pack is the residue of the operating record rather than a separate compilation produced at board time.
Failure modes the standard surfaces
The standard is forgiving on the choice of tooling, the wording of the screening questions, and the exact thresholds the programme uses. It is unforgiving about a small number of patterns that turn the PIA programme cosmetic rather than operational. The patterns below recur across PIA adoptions and are the ones that erode supervisory confidence, audit defensibility, and customer due-diligence credibility most reliably.
- Treating the PIA as a one-off document. Programmes that produce a PIA at system launch and never reopen it as the processing changes lose the material-change discipline the standard expects. By month nine the PIA describes a system that no longer exists and the residual risk decision rests on a stale picture. The standard expects a PIA register with material-change logs and follow-up reviews, not a launch-date essay.
- Skipping the necessity and proportionality step. Programmes that move straight from description to risk identification produce PIAs that catalogue risks but never ask whether the processing should exist in its current shape. The most valuable PIA outcomes often come from this step: a category of PII removed, a retention period shortened, a recipient removed, a cross-border transfer replaced by in-region processing, an automated decision replaced by human review.
- No named residual risk decision. Programmes that close PIAs with a treatment plan but no named decision authority approving the residual risk leave the assessment record without the accountable signature regulators, auditors, and supervisory authorities all read. The decision is the named decision by the named authority; the standard does not allow it to be implicit.
- Treatment plans that never close. Programmes that produce PIAs with treatment plans but never track closure produce a credibility gap supervisory authorities, internal auditors, certification bodies, and customers under data sharing agreements all read. The standard expects the treatment plan ledger to live on the PIA record and to close out as the treatments are verified.
- Consultation skipped. Programmes that produce PIAs as single-author documents without input from privacy counsel, security architecture, engineering, product, legal, vendor management, and where applicable data subject representatives produce assessments that miss the multi-stakeholder reasoning the standard expects. Consultation is the discipline that surfaces risks single-author exercises overlook.
- PIAs that never reach the supervisory consultation when the law requires it. Under GDPR Article 36, processing that, despite the treatment plan, would still result in a high residual risk requires prior consultation with the supervisory authority. Programmes that treat all residual risk decisions as in-house calls miss the regulatory escalation path the regime requires.
- Privacy risk register kept separate from the enterprise risk register. Programmes that run a privacy risk register on a separate tool produce parallel views of risk the executive layer cannot reconcile. The standard does not require one register, but operating effectiveness improves where the privacy facets and the security facets read against the same enterprise risk view.
- No exercising of the PIA discipline. Programmes that publish a PIA procedure but never walk a real or rehearsed processing activity through the nine steps produce a documented method that breaks under load when a high-profile system launch needs the assessment turned around quickly. The standard does not mandate exercising explicitly but the operating programmes that hold up under regulator review have walked the method through enough times to know where the bottlenecks are.
How ISO/IEC 29134 relates to adjacent regimes
ISO/IEC 29134 sits in a busy privacy regulatory and assurance neighbourhood. The relationships below are the ones programmes encounter most often when they read 29134 against the rest of the operating regime. Programmes operating across regions and sectors use 29134 as the PIA method and read GDPR, UK GDPR, ISO/IEC 27701, ISO/IEC 27001, the NIST Privacy Framework, SOC 2, HIPAA, PCI DSS, and the sector privacy regimes as the contextual layers around it.
ISO/IEC 29134 vs GDPR Article 35 DPIA
GDPR Article 35 mandates a DPIA when processing is likely to result in a high risk to the rights and freedoms of natural persons. The Article 29 Working Party guidance (WP248 rev.01) and the EDPB Guidelines on DPIA cite ISO/IEC 29134 by reference as the methodology that satisfies Article 35(7) requirements. Programmes operating under GDPR run their DPIAs against the 29134 method and inherit the structure for non-DPIA PIAs at the same time. The supervisory consultation under Article 36 is the regulatory variant of the consultation activity the standard already names.
ISO/IEC 29134 vs ISO/IEC 27701
ISO/IEC 27701 (Privacy information management systems) names the management system that operates privacy as an ongoing discipline. ISO/IEC 29134 names the impact-assessment method the management system reads against when a processing activity needs assessing. The two are designed to read together: 27701 names the PIA records as a required artefact of the PIMS (control B.7.2.5 and B.8.2.1 in the controller and processor annexes), and 29134 names the method that produces those records.
ISO/IEC 29134 vs ISO/IEC 27001
ISO/IEC 27001 covers information security risk management at the ISMS level. ISO/IEC 29134 covers privacy risk management at the PIA level. The two methods share a common risk-assessment heritage and read cleanly together: the privacy risk register feeds the wider information security risk register, and the security controls credited inside a PIA are the same controls the ISMS already owns. Programmes operating ISO 27001 and 27701 jointly run one risk register with privacy-specific and security-specific facets rather than two parallel registers.
ISO/IEC 29134 vs NIST Privacy Framework
The NIST Privacy Framework v1.0 (2020) names the privacy programme structure (Core, Profiles, Implementation Tiers) and the privacy risk model. The NIST Privacy Risk Assessment Methodology (PRAM) is the impact-assessment method that pairs with the framework. ISO/IEC 29134 is the international counterpart. The two methods produce compatible outputs: programmes operating under both regimes often adopt 29134 as the international anchor and PRAM as the US federal anchor with one PIA register satisfying both reads.
ISO/IEC 29134 vs UK ICO DPIA guidance
The UK Information Commissioner published DPIA guidance under UK GDPR and the Data Protection Act 2018 that cites ISO/IEC 29134 alongside the Article 29 Working Party guidance. Programmes operating against the UK regime run the same nine-step method, with the supervisory authority for prior consultation replaced by the ICO and with the UK-specific triggers (Schedule 1 conditions for processing special category data, biometric data, large-scale criminal offence data, novel technologies) layered onto the 29134 threshold question set.
ISO/IEC 29134 vs sector regimes
PIAs are also referenced by sector regimes. HIPAA does not mandate a PIA by name but the Security Rule risk analysis (45 CFR 164.308(a)(1)(ii)(A)) and the Privacy Rule analysis cover overlapping ground. The Gramm-Leach-Bliley Act Safeguards Rule references risk assessment of customer information. The PCI DSS v4.0 risk assessment requirement covers cardholder data. Sector-aligned programmes use 29134 as the methodology and tag the PIA register with the sector regime the assessment also satisfies, so one assessment activity reads across multiple regulatory and contractual reads.
Where SecPortal fits in an ISO/IEC 29134 programme
SecPortal is the operating layer for the privacy impact assessment case lifecycle, not a replacement for the privacy programme strategy, the data protection officer accountability, the legal counsel relationship, or the supervisory authority dialogue the regulation expects. The platform handles the assessment-side workstreams (screening, scoping, data flow description, necessity and proportionality reasoning, risk identification, treatment planning, residual risk decision, supervisory consultation record, verification evidence, follow-up cadence, material-change tracking) so the artefacts the standard expects are produced as structured records rather than reconstructed across email threads, document drives, and ticketing systems at audit time. The same workspace that hosts the PIA record hosts the security finding evidence, the credential lifecycle, the continuous monitoring results, and the policy and procedure artefacts that the technical security measures section of the PIA credits.
- Engagement management dedicated to the privacy assessment programme, with one engagement record per PIA so the scoping statement, the data flow description, the necessity and proportionality reasoning, the risk identification, the treatment plan, the residual risk decision, the verification evidence, the supervisory consultation outcome, and the follow-up cadence sit on one record rather than being stitched together across email threads, document drives, and ticketing systems at audit time.
- Findings management with structured records, CVSS 3.1 scoring (for the security-risk facet that the privacy risk register reads alongside), CWE tagging where applicable, and per-finding asset binding so the privacy risks identified in a PIA carry the same operating-record shape as the wider security risk register and feed the enterprise risk view rather than living on a separate tool.
- Document management for the PIA report, the data flow description, the privacy policy and supporting policies, the consultation record, the supervisory consultation correspondence, and the legal opinion attachments, with version history per artefact so the PIA refresh on material change and the audit-cycle review produce a defensible trail rather than a re-keyed document each time.
- AI report generation that turns the structured PIA record into the leadership-read executive summary, the supervisory consultation submission draft, the customer data sharing agreement attestation, the board update on the privacy programme posture, and the internal audit briefing, working against the structured PIA record rather than against unstructured email content.
- Activity log with CSV export that captures every state change on the PIA record (scope opened, contributor added, risk added, control credited, treatment plan added, residual risk decision recorded, supervisory consultation dispatched, verification evidence attached, follow-up review opened, material-change re-opening), so an internal auditor, an external auditor, a certification body, a supervisory authority, or counsel can reconstruct the PIA timeline without a multi-team excavation.
- Team management with role-based access (owner, admin, member, viewer, billing) that keeps the privacy team, the security team, the GRC team, engineering owners, product owners, the legal team, and vendor management on the same workspace with appropriate scoping per role, plus MFA enforcement (TOTP) on accounts that touch the PIA record so the audit trail is identity-grounded.
- Finding overrides with the eight-field structured exception decision chain (description, justification, compensating control, approved-by, approved-on, expiry-date, conditions, review cadence) so the residual risk acceptances inside a PIA carry the same audit-grade decision shape as the broader security exception register, with named approvers, dated decisions, and renewal cadences that the supervisory authority and internal audit can both read.
- Compliance tracking that reads the same evidence pack across ISO/IEC 29134, ISO/IEC 27701 controller annex (B.7.2.5) and processor annex (B.8.2.1), ISO/IEC 29151, ISO/IEC 27018, ISO/IEC 27001 Annex A risk management controls, GDPR Articles 25 and 32 and 35 and 36, UK GDPR DPIA guidance, the NIST Privacy Framework, SOC 2 privacy criteria, HIPAA risk analysis, and PCI DSS v4.0 risk assessment, so the cross-regime read is reconcilable rather than reconciled per audit.
- Notifications and alerts that fire on PIA record state changes (treatment plan due, follow-up review due, residual risk re-evaluation date approaching, material-change re-opening trigger) so the programme operates against the cadence the standard expects rather than relying on inbox vigilance.
- Encrypted credential storage (AES-256-GCM) for any privileged credentials referenced in the technical security measures section of the PIA, so the credential lifecycle around the assessed processing activity is reproducible without leaving credentials in shared documents or chat channels.
- Continuous monitoring schedules (daily, weekly, biweekly, monthly) so the technical security measures credited inside a PIA are verified against the live posture rather than against the assessment snapshot, with the verification evidence attached to the PIA record so the follow-up cycle can reason about credited-vs-actual without a separate excavation.
The PIA evidence (screening, scoping, description, necessity and proportionality, risk identification, evaluation, treatment, decision, follow-up) reads against operational workflows that already exist as named use cases. The compliance audit operating workflow carries the audit-cycle discipline the PIA register reads against when the wider audit cycle reaches the privacy programme. The audit fieldwork evidence request fulfillment workflow carries the supervisory consultation and fieldwork-day evidence packaging the PIA record feeds. The exception management workflow carries the residual risk acceptance discipline the PIA decision step records against.
For GRC and compliance teams operating ISO/IEC 29134 as part of the wider audit cadence, the GRC and compliance teams workspace covers the policy hierarchy, the evidence pack, and the audit cadence the standard expects. For internal security teams supporting the PIA discipline as the control-owner side, the internal security teams workspace bundles the platform with the engagement structure the PIA cadence reads against. For CISOs and security leaders carrying the programme-level reporting on the privacy programme posture and the named-decision accountability for residual risk, the CISOs and security leaders workspace covers the executive-layer reporting model that sits on top of the PIA operating record.
For deeper reading on the disciplines this standard reads against, the DPIA template tool provides a structured form the screening, scoping, and risk identification steps of the method can be operated against. The ISO/IEC 27701 framework page covers the privacy information management system the PIA register is a required artefact of (control B.7.2.5 in the controller annex and B.8.2.1 in the processor annex). The GDPR framework page covers the regulatory text Article 35 (DPIA) and Article 36 (prior consultation) name and the EDPB Guidelines the supervisory authorities read DPIAs against. The ISO/IEC 27001 framework page covers the information security risk management discipline that pairs with the privacy risk management discipline 29134 names so the joint risk register reads against both. The ISO/IEC 27005 framework page covers the information security risk management method that the security-risk facets of a PIA share heritage with so the assessment vocabulary is consistent across the two disciplines. The SEC cybersecurity disclosure framework page covers the disclosure-decision discipline US public companies operate alongside any privacy-incident materiality determination that flows from a PIA-credited control failure. The ISO/IEC 29147 framework page and the ISO/IEC 30111 framework page cover the vulnerability disclosure and handling standards that pair with 29134 for organisations whose products process PII and need to coordinate privacy and security assessment evidence on one operating record.
Key control areas
SecPortal helps you track and manage compliance across these domains.
Step 1: Threshold and screening
Decide whether a PIA is needed for the processing activity using a documented screening question set: categories of PII, volume, geographic scope, data subject vulnerability, novel technologies, automated decision-making, cross-border transfers, third-party integrations, prior assessments. Positive screen opens a PIA record; negative screen records the rationale so the decision is reproducible at audit time.
Step 2: PIA preparation and scoping
Define the scope of the PIA (which processing operations, which systems, which actors, which jurisdictions), name the PIA owner, name the contributors, and document the data flow at a level that lets the next step reason about risk. The scope statement is the artefact every later step reads against.
Step 3: Description of the processing
Document the processing operations in structured form: purposes, categories of PII, data subjects, lawful basis, recipients, retention periods, cross-border transfers, security measures envisaged, consultation activities. The description is the substrate the risk analysis reasons about.
Step 4: Necessity and proportionality
Assess whether the processing is necessary for the stated purpose and proportionate. This step surfaces the largest single set of PIA outcomes that change the processing design rather than just adding mitigations: a category removed, a retention period shortened, a recipient removed, an automated decision replaced.
Step 5: Privacy risk identification
Identify the privacy risks to data subjects across the taxonomy: unauthorised access, accidental loss, unauthorised modification, unauthorised disclosure, incompatible-purpose processing, profiling harms, surveillance harms, discrimination harms, identity harms, financial harms, reputational harms, psychological harms.
Step 6: Privacy risk evaluation
Evaluate residual risk after existing controls are credited, against the risk-acceptance criteria the organisation defines. The evaluation produces a per-risk decision band (accept, treat, transfer, avoid) the next step operates against.
Step 7: Treatment plan
Define the treatment plan per risk that is not in the accept band: named control to add, named owner, implementation date, verification method, verification evidence, schedule to revisit the residual risk. Risks without a named owner and a named due date are open in the assessment record but silently unworked in the operating record.
Step 8: PIA report and residual risk decision
Produce the PIA report and capture the residual risk decision: the named decision by the named authority that the remaining risk is acceptable or that the processing will not proceed as scoped. The decision is captured on the PIA record with the named decider, the timestamp, the rationale, and the conditions attached to the acceptance.
Step 9: Implementation and follow-up
Implement the treatment plan, verify the controls, attach the verification evidence to the PIA record, and schedule the follow-up review. The follow-up cadence is driven by the risk profile. Material changes (new purpose, new category, new recipient, new cross-border transfer, change of lawful basis) trigger a re-opening of the PIA.
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Run an ISO/IEC 29134-aligned PIA programme on one record
Hold the PIA screening log, the assessment register, the data flow descriptions, the consultation records, the privacy risk register, the residual risk decisions, the treatment plans, the supervisory consultation correspondence, the verification evidence, and the follow-up cadence on one workspace, then read the same record across ISO/IEC 29134, ISO/IEC 27701, GDPR Article 35, the NIST Privacy Framework, SOC 2 privacy criteria, and sector privacy regimes. Start free.
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