Consent and lawful processing support for cloud PII
The consent and lawful processing support for cloud PII requirement means your cloud service must enable customers (as controllers) to meet their legal bases for processing and consent obligations by providing the right product features, contract terms, and audit-ready records. Operationalize it by mapping where customer PII flows, implementing configurable processing controls and logging, and packaging evidence customers can use for audits and data subject requests.
Key takeaways:
- Build “controller support” into the service: configurable processing instructions, scoped access, export/delete support, and records.
- Treat consent/lawful basis as an evidence problem: logs, request tickets, and change history must be retrievable and customer-specific.
- Contracts and operations must match: your DPA/SOW, your system behavior, and your support playbooks must align.
Cloud PII processors commonly fail this requirement in a predictable way: the service works, but the provider cannot prove that customer instructions were followed, cannot separate customer-specific processing contexts, or cannot produce records customers need to demonstrate lawful processing or consent where applicable. ISO/IEC 27018 sets expectations for how a public cloud provider processing PII supports its customers’ compliance obligations, without turning the cloud provider into the customer’s lawyer.
For a Compliance Officer, CCO, or GRC lead, “support” translates into three things you can implement quickly: (1) clear contractual boundaries for instructions and permitted processing, (2) service features that allow customers to configure and enforce those instructions (including consent-dependent processing if your product relies on consent signals), and (3) durable evidence that shows what happened, when, by whom, and under which customer instruction set.
This page gives requirement-level implementation guidance you can hand to Engineering, Product, Legal, and Support to close the gap. It is written for operators who need artifacts that survive audits and customer due diligence questionnaires, not theory.
Regulatory text
Provided excerpt (framework overview summary): “Baseline implementation-intent summary derived from publicly available framework overviews; licensed standard text is not reproduced in this record.” 1
Requirement summary: “Support customer obligations around lawful processing and consent where applicable.” 1
Operator interpretation (plain English)
If you process PII in a cloud service on behalf of customers, you must give customers practical and provable ways to:
- Define and constrain what you do with their PII (processing instructions and boundaries).
- Demonstrate a lawful basis for processing and consent handling where the customer’s use case requires it.
- Obtain records from you that help them respond to regulators, auditors, and data subjects.
This does not require you to determine the customer’s lawful basis. It requires you to make your processing controllable, transparent, and evidentiary so the customer can meet obligations tied to lawful processing and consent.
Who this applies to
In-scope entities
- Cloud PII processors providing public cloud services where customer PII is processed as part of delivering the service. 1
In-scope operational contexts
- Multi-tenant SaaS, PaaS, or managed services that ingest, store, transmit, analyze, or otherwise process customer PII.
- Support operations that can access customer PII (support tooling, incident response, debugging).
- Subprocessor ecosystems where customer PII is passed to third parties (cloud infrastructure providers, observability tools, ticketing attachments, email delivery providers).
Out-of-scope (usually)
- Purely anonymous or aggregated data where you can credibly demonstrate it is not PII for the customer context.
- Customer-side consent collection UX if your service does not touch consent signals. (If you do process consent signals, you still need controls and records around that processing.)
What you actually need to do (step-by-step)
Step 1: Identify “lawful processing support” touchpoints in your service
Create a short map that links product behavior to compliance obligations customers commonly ask about:
- Processing instruction points: configuration settings, admin APIs, feature flags, tenant-level toggles.
- PII lifecycle points: collection, ingestion, storage, access, sharing, deletion, backup/restore, exports.
- Human access points: support access, SRE access, engineering break-glass, professional services.
- Disclosure points: subprocessors, cross-border transfers (if applicable), analytics/telemetry.
Deliverable: a one-page “Customer PII Processing Support Map” that lists each touchpoint, system owner, and existing evidence source.
Step 2: Define and publish what processing you will and will not do
Customers cannot demonstrate lawful processing if your terms and practices are vague.
Minimum set to standardize:
- Purpose limitation: which purposes you process PII for (service delivery, security, support).
- Instruction handling: how customers communicate instructions (admin console settings, written request channel, ticket types).
- Subprocessor boundaries: categories of subprocessors and the conditions for use.
- Retention and deletion behaviors: what customers can control vs what is fixed by architecture (backups, logs).
Artifacts:
- Data Processing Addendum (DPA) and supporting exhibits (subprocessor list, security measures).
- Customer-facing documentation describing tenant controls and data handling.
Step 3: Implement product controls that make instructions enforceable
Auditors will test whether you can technically enforce what you promise.
Common controls to implement or validate:
- Tenant-scoped processing: strict logical separation and access controls so one customer’s instructions do not affect another’s data.
- Configurable retention/deletion: customer-set retention where feasible; deletion workflows that propagate across primary stores and derived stores.
- Export and portability support: tenant exports that customers can use for subject access requests or audit evidence.
- Consent-dependent processing support (where applicable): if your service processes consent signals (for example, “marketing allowed” flags or cookie consent strings), you need:
- A data model that stores consent state with provenance (source, timestamp, version).
- Enforcement points where consent gates downstream processing.
- Ability to update/revoke and have that revocation propagate.
Implementation note: If your service does not rely on consent signals, document that clearly and focus on lawful processing support as “instruction + transparency + evidence.”
Step 4: Build records that customers can use as evidence
This requirement becomes easy to defend when you can answer: “Show me what you did with Customer X’s PII.”
Minimum evidence capabilities:
- Administrative activity logs: who changed tenant settings that affect PII processing, and when.
- Access logs: who accessed customer PII (human and service accounts), for what reason code, and through which tool.
- Processing event logs (where feasible): exports, deletions, restores, bulk transfers, key rotations.
- Support ticket correlation: link break-glass events and data-handling actions to an approved ticket with customer authorization.
Operationalize with a “customer evidence pack” approach:
- A standard set of reports and log extracts you can produce on request.
- A documented process and SLA targets (set internally) for producing evidence.
Step 5: Operationalize a request intake and fulfillment workflow
Create a single front door for customer requests tied to lawful processing and consent obligations:
- “Process only under these instructions”
- “Provide records for audit”
- “Delete/export data”
- “Confirm subprocessor usage”
- “Support data subject requests” (where your role requires assistance)
Workflow requirements:
- Triage rubric (is this a standard self-serve action, a support-assisted action, or a legal review action?).
- Approval gates for high-risk actions (restores, bulk exports, cross-tenant operations).
- Standard communications templates that avoid legal advice and stick to facts about service behavior.
Step 6: Control subprocessors and onward transfers as part of “support”
If customer PII flows to third parties, your support must include:
- A maintained subprocessor register and change process.
- Evidence that subprocessors are bound to appropriate contractual and security obligations consistent with your customer commitments.
- An internal map that ties each subprocessor to the PII categories and processing purpose.
Step 7: Test the system like an auditor would
Run tabletop and technical tests that generate audit artifacts:
- Can you produce an access history for a tenant covering a defined period?
- Can you prove a deletion request was executed and identify systems excluded (with rationale)?
- Can you show which configuration settings controlled processing at the time of an incident?
If you use Daydream to manage third-party risk and compliance workflows, treat this requirement as a “customer evidence deliverable” control: track owners, map systems, and store the evidence pack outputs so customer due diligence requests do not become scramble drills.
Required evidence and artifacts to retain
Use this table as an audit-ready checklist.
| Evidence / artifact | What it proves | Owner |
|---|---|---|
| Signed DPA + exhibits (subprocessors, technical measures) | Your processing scope and instruction model | Legal / Compliance |
| Customer-facing data handling docs (retention, deletion, logging, tenant controls) | Customers can understand and apply controls | Product / Security |
| PII data flow map (tenant-level) | Where PII is processed and where controls apply | Security / Architecture |
| Admin and access log samples + retention configuration | You can reconstruct who did what for a tenant | Security / IT |
| Break-glass procedure + approvals + sample tickets | Human access is controlled and authorized | Security / Support |
| Deletion/export runbooks + sample completion records | You can execute lifecycle obligations | Engineering / Support |
| Subprocessor register + review/approval records | Third-party processing is governed | Vendor Mgmt / Security |
| Internal training or enablement for Support | Requests are handled consistently | Compliance / Support Ops |
Common exam/audit questions and hangups
Expect these, and prep responses with pointers to artifacts:
-
“How do customers provide processing instructions?”
Hangup: instructions are scattered across emails and Slack. Fix with a defined channel and ticket categories. -
“Show evidence you followed Customer A’s instructions last quarter.”
Hangup: logs exist but are not tenant-queryable, or retention is too short for audit timelines. Fix with tenant identifiers in logs and defined retention. -
“How do you support consent withdrawal if you process consent signals?”
Hangup: consent is stored but not enforced downstream. Fix by defining enforcement points and testing revocation propagation. -
“What subprocessors process PII, and how do customers learn about changes?”
Hangup: subprocessor list is stale or incomplete. Fix with an owned register and change control. -
“Can Support access production data?”
Hangup: informal access practices. Fix with break-glass tooling, approval gates, and reason-coded logs.
Frequent implementation mistakes (and how to avoid them)
-
Mistake: Treating “lawful processing” as a legal memo.
Avoidance: build a service control + evidence pack. Auditors test operations, not intent. -
Mistake: Logging exists, but you cannot produce customer-specific records quickly.
Avoidance: standardize tenant identifiers, store logs centrally, document retrieval steps, and run quarterly evidence drills. -
Mistake: Consent captured, but no provenance.
Avoidance: store source, timestamp, policy/version, and actor. Without provenance, consent records are weak in audits. -
Mistake: Deletion means “UI delete,” while backups and derived stores persist without documentation.
Avoidance: document deletion scope precisely and provide customers a truthful statement of what is deleted when, plus exceptions. -
Mistake: Subprocessors managed by Procurement only.
Avoidance: tie subprocessors to PII flows and product features; include Security and Engineering in approvals.
Enforcement context and risk implications
No specific public enforcement cases were provided in the source catalog for this requirement. The practical risk still shows up in customer audits and procurement: failure to support lawful processing and consent obligations becomes a deal blocker, increases breach response exposure, and creates inconsistent handling of data subject and audit requests. ISO/IEC 27018 positions these expectations as baseline controls for public cloud PII processing 1.
Practical 30/60/90-day execution plan
Day 0–30: Define scope, owners, and minimum viable evidence
- Assign an executive owner (Compliance or Security) and service owners per system.
- Build the Customer PII Processing Support Map (touchpoints, owners, evidence sources).
- Standardize request intake: create ticket types for deletion/export/audit evidence/instruction changes.
- Draft or refresh customer-facing docs: retention, deletion, support access, logging overview.
- Identify log gaps: tenant ID coverage, human access logging, admin change logging.
Day 31–60: Implement controls and start producing “customer evidence packs”
- Implement or tighten break-glass with approvals and reason codes.
- Make key settings auditable: admin change logs with immutable retention.
- Publish/refresh subprocessor register and internal linkage to PII categories and purposes.
- Build a repeatable “evidence pack” runbook: what you can produce, how, and who approves release.
- Run one internal drill: pick a tenant and produce an evidence pack from scratch.
Day 61–90: Harden, test, and make it routine
- Add automated reports (monthly): admin changes, production access events, exports/deletions.
- Validate deletion and export workflows across primary and derived systems; document exceptions.
- Train Support and SRE on the request workflow and evidence expectations.
- Add quarterly control testing: select tenants, simulate instruction change + evidence request + deletion request.
- Store artifacts centrally (e.g., in Daydream) with versioning so customer audits do not depend on tribal knowledge.
Frequently Asked Questions
Does this requirement mean our cloud service must collect consent from end users?
No. It requires you to support customer obligations around lawful processing and consent where applicable 1. If your service processes consent signals or relies on them for processing, you need controls and records that preserve and enforce those signals.
What’s the minimum “evidence pack” we should be able to produce for a customer?
Produce tenant-scoped admin change history, human access/break-glass records with approvals, and lifecycle action records for exports and deletions. Pair it with your DPA and subprocessor list so the evidence aligns with your contractual commitments.
We can delete data in primary storage, but backups persist. Are we noncompliant?
Not automatically, but you need a documented, truthful deletion scope and a defined process for how backups age out or are handled. Customers need accurate statements they can rely on for their own compliance narratives.
How do we handle lawful processing support when we’re a subprocessor to another cloud provider?
Treat the immediate customer as the controller-facing party and support their instruction model and evidence needs. Your contracts, logs, and request workflows must still allow that customer to prove what happened in your layer.
Who should own this control: Legal, Security, or Product?
Make Compliance accountable for the requirement outcome, Security accountable for logging/access controls, Product accountable for tenant controls and data lifecycle features, and Support accountable for request execution. Split ownership explicitly so evidence does not fall between teams.
What should we show during customer due diligence if we can’t expose raw logs?
Provide controlled extracts, screenshots, and attestation-style summaries backed by internal immutable logs and runbooks. Customers usually accept summaries when they are specific, tenant-scoped, and reproducible on request.
Related compliance topics
- 2025 SEC Marketing Rule Examination Focus Areas
- Access and identity controls
- Access Control (AC)
- Access control and identity discipline
- Access control lifecycle management
Footnotes
Frequently Asked Questions
Does this requirement mean our cloud service must collect consent from end users?
No. It requires you to support customer obligations around lawful processing and consent where applicable (Source: ISO/IEC 27018 overview). If your service processes consent signals or relies on them for processing, you need controls and records that preserve and enforce those signals.
What’s the minimum “evidence pack” we should be able to produce for a customer?
Produce tenant-scoped admin change history, human access/break-glass records with approvals, and lifecycle action records for exports and deletions. Pair it with your DPA and subprocessor list so the evidence aligns with your contractual commitments.
We can delete data in primary storage, but backups persist. Are we noncompliant?
Not automatically, but you need a documented, truthful deletion scope and a defined process for how backups age out or are handled. Customers need accurate statements they can rely on for their own compliance narratives.
How do we handle lawful processing support when we’re a subprocessor to another cloud provider?
Treat the immediate customer as the controller-facing party and support their instruction model and evidence needs. Your contracts, logs, and request workflows must still allow that customer to prove what happened in your layer.
Who should own this control: Legal, Security, or Product?
Make Compliance accountable for the requirement outcome, Security accountable for logging/access controls, Product accountable for tenant controls and data lifecycle features, and Support accountable for request execution. Split ownership explicitly so evidence does not fall between teams.
What should we show during customer due diligence if we can’t expose raw logs?
Provide controlled extracts, screenshots, and attestation-style summaries backed by internal immutable logs and runbooks. Customers usually accept summaries when they are specific, tenant-scoped, and reproducible on request.
Operationalize this requirement
Map requirement text to controls, owners, evidence, and review workflows inside Daydream.
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