Protection of records

ISO/IEC 27017 Clause 18.1.3 requires you to protect cloud-hosted records against loss, destruction, falsification, unauthorized access, and unauthorized release, aligned to legal, regulatory, contractual, and business requirements. To operationalize it, you need clear record ownership, retention rules, tamper-resistant storage, strong access controls, and provable backup, recovery, and disposal processes. ¹

Key takeaways:

• Treat “records” as an end-to-end lifecycle: create, classify, store, access, change, export/share, retain, dispose.
• Prove integrity and non-repudiation with logging, immutability/tamper resistance, and documented change control.
• Evidence wins audits: retention schedules, access reviews, backup/restore tests, and chain-of-custody for releases.

“Protection of records” is an operational requirement disguised as a sentence. ISO/IEC 27017 Clause 18.1.3 expects you to know what your records are, where they live in the cloud, who can touch them, how long you must keep them, and how you prevent silent alteration or accidental loss. The requirement spans security (access control, encryption, logging), resilience (backup and recovery), governance (retention and legal holds), and third-party risk (cloud provider controls and contractual commitments). ¹

For a CCO or GRC lead, the fastest path is to convert the clause into auditable statements: (1) a records inventory tied to systems and cloud services; (2) a retention and disposal standard mapped to obligations; (3) technical controls that prevent unauthorized access and detect or prevent falsification; and (4) repeatable evidence that these controls work in production. This page gives you requirement-level implementation steps, the artifacts to retain, and the exam questions that typically expose weak spots.

Regulatory text

ISO/IEC 27017:2015 Clause 18.1.3 states: “Records shall be protected from loss, destruction, falsification, unauthorized access and unauthorized release, in accordance with legislatory, regulatory, contractual and business requirements for cloud-hosted data.” ¹

What the operator must do

You must implement governance and technical controls that, for cloud-hosted records:

• Prevent loss/destruction (resilience, backups, controlled deletion).
• Prevent or detect falsification (integrity controls, change control, tamper-evident logs).
• Prevent unauthorized access (least privilege, strong auth, monitoring).
• Control unauthorized release (approved sharing paths, DLP-style constraints where appropriate, egress controls, contractual/tenant boundaries).
• Align all of the above with your obligations (laws, regulations, contracts, and internal business retention needs). ¹

Plain-English interpretation

A “record” is any information your organization must keep as evidence of an activity, decision, transaction, or compliance obligation. In cloud environments, records often exist as database rows, object storage files, email/chat exports, tickets, audit logs, invoices, HR files, and security telemetry. This requirement expects you to treat those records as regulated assets: they must remain available, accurate, and appropriately confidential for as long as required, and you must be able to show auditors how you enforce that.

Who it applies to (entity and operational context)

Applies to:

• Cloud Service Providers (CSPs) that store or process customer records and must protect them according to contractual and legal obligations.
• Cloud Service Customers (your organization) that run workloads in the cloud and remain accountable for record protection, even when the infrastructure is operated by a third party. ¹

Operational contexts where it matters most:

• Multi-tenant SaaS where customers expect strict segregation and controlled export.
• IaaS/PaaS where you design storage, backup, and access patterns yourself.
• Environments with frequent changes (DevOps), where “falsification” risk often shows up as undocumented or untraceable modification rather than deliberate fraud.
• Third-party integrations and support access paths, which are common sources of unauthorized release.

What you actually need to do (step-by-step)

1) Define “records” and assign accountable owners

1. Write a Records Definition for your environment (what qualifies as a record vs. transient data).
2. Assign Record Owners by domain (Finance, HR, Security, Product, Support) and a technical owner for each system of record.
3. Decide which cloud services are “systems of record” versus caches or derived stores.

Deliverable: Records ownership matrix (system → record types → business owner → technical owner).

2) Build a cloud records inventory mapped to locations

1. Enumerate record-bearing systems: SaaS apps, databases, object stores, logging platforms, ticketing systems.
2. For each, record:
   • Data location (cloud account/project/subscription, region where applicable)
   • Storage type (object, block, DB, SaaS native)
   • Primary access methods (console, API, service accounts)
   • Export/sharing paths (downloads, reports, email forwarding, public links)

Deliverable: Cloud Records Inventory (spreadsheet or GRC system report) with authoritative source(s).

3) Set retention, legal hold, and disposal rules

1. Create a Retention Schedule that covers each record category and states the retention trigger (creation date, termination date, contract end, case closure).
2. Define legal hold steps: who can place holds, how holds are communicated, and how deletions are suspended.
3. Define disposal methods per storage type (secure deletion for object storage, DB purge jobs, SaaS deletion workflows), including approval and logging.

Operator’s test: Pick a record type and prove you can (a) keep it for the required period and (b) delete it when allowed, with approvals and evidence.

4) Implement protection controls for the five threat outcomes

A. Protect from loss and destruction (availability + resilience)

• Ensure backups exist for systems of record and are protected against deletion by ordinary admins.
• Separate duties: the person who can delete production data should not be the only person who can delete backups.
• Run restore tests and document results, including gaps found and remediation.

Evidence focus: auditors commonly ask for restore proof, not backup configuration screenshots.

B. Protect from falsification (integrity)

• Use immutable or tamper-resistant logging for record access and modifications where feasible (especially for audit logs and security-relevant records).
• Enforce change control for schemas, retention logic, and access policies.
• Use integrity checks (hashing/signing) for high-value exported records or reports where later disputes are plausible.

Practical rule: if a privileged user can edit a record without a trace, you have a falsification control gap.

C. Protect from unauthorized access (confidentiality)

• Implement least privilege via RBAC/ABAC; remove broad “admin” grants for business users.
• Require strong authentication for consoles and privileged actions.
• Run periodic access reviews for record-bearing systems and document approvals and removals.

D. Protect from unauthorized release (controlled sharing/egress)

• Define approved release channels (customer exports, subpoenas, internal reporting).
• Control public links, external sharing, and bulk exports; log exports and downloads.
• Ensure third-party support access is time-bound, approved, and logged.

E. Align with legal/regulatory/contractual/business requirements

• Map each record category to its obligations: contract clauses, customer commitments, and internal needs.
• Where your cloud provider is responsible for part of the control (for example, underlying storage durability or physical security), document the dependency and how you verify it (attestations, contractual terms, and shared responsibility statements). ¹

5) Operationalize with runbooks and monitoring

• Write runbooks for: record export approval, legal hold execution, restore execution, and access break-glass.
• Monitor for: unusual exports, mass deletions, policy changes, and disabled logging on record systems.
• Establish incident response hooks: if unauthorized release is suspected, preserve logs and snapshots as records themselves.

6) Make it auditable (evidence packaging)

Most programs fail here: controls exist, but evidence is scattered. Use a consistent evidence binder structure per system of record.

Daydream can help by centralizing third-party and internal control evidence requests, tracking record-protection obligations by system, and producing audit-ready packets without rebuilding the story each audit cycle.

Required evidence and artifacts to retain

Maintain artifacts that prove both design and operating effectiveness:

Governance artifacts

• Records definition and scope statement
• Records ownership matrix
• Records inventory and data flow diagrams for record systems
• Retention schedule, legal hold procedure, disposal standard
• Policy statements covering access control, logging, and data handling for cloud-hosted records ¹

Technical evidence

• Access control lists/RBAC role definitions for key systems
• Access review tickets with approvals and removals
• Logging configuration evidence (what is logged, where logs are stored, retention of logs)
• Backup configuration evidence plus restore test records
• Change management records for retention logic, access policies, encryption key policies, and logging pipelines
• Export/release logs and approvals (where applicable)

Third-party artifacts (if CSP/SaaS involved)

• Contracts and DPAs with record protection obligations
• Shared responsibility documentation and confirmation of provider responsibilities
• Provider audit reports/attestations if available in your program repository (do not over-claim what they cover)

Common exam/audit questions and hangups

Use these as your readiness checklist:

1. “Show me your records inventory. How do you know it’s complete?”
   Hangup: teams list apps but miss logs, analytics stores, and “temporary” exports that became permanent.

2. “Which records are subject to retention, and what triggers retention?”
   Hangup: retention periods exist but triggers are undefined, so retention becomes inconsistent.

3. “Who can alter or delete records? How is that controlled and reviewed?”
   Hangup: privileged roles are too broad; access reviews cover only employees, not service accounts.

4. “Prove you can restore records after an incident.”
   Hangup: backups exist; restore has never been tested or the test was not documented.

5. “How do you prevent unauthorized release through exports, reports, and support access?”
   Hangup: release pathways are informal and approvals are not recorded.

Frequent implementation mistakes and how to avoid them

• Mistake: treating retention as a legal spreadsheet only.
  Fix: tie retention rules to technical enforcement mechanisms (DB TTL jobs, object lifecycle rules, SaaS retention settings) and track exceptions.

• Mistake: assuming CSP durability equals record protection.
  Fix: durability does not address falsification, unauthorized access, or release. Document shared responsibility and implement your part.

• Mistake: logging is enabled but not protected.
  Fix: secure logs against tampering, set retention aligned to investigation needs, and restrict who can disable logging.

• Mistake: backups exist in the same admin domain as production.
  Fix: separate permissions and add deletion protections so ransomware or a malicious admin cannot erase backups easily.

• Mistake: ignoring “shadow records” like CSV exports and emailed reports.
  Fix: define approved export routes, log exports, and set guidance for storing exports in managed repositories.

Enforcement context and risk implications

No public enforcement cases were provided in the available source catalog for this requirement. Practically, failures in record protection tend to surface as: inability to produce records during disputes or audits, uncontrolled disclosures through exports or misconfigured sharing, and integrity challenges where you cannot prove who changed what and when. ISO/IEC 27017 frames this as a cloud-hosted data obligation tied to legal, regulatory, contractual, and business requirements. ¹

A practical 30/60/90-day execution plan

First 30 days (stabilize scope and accountability)

• Confirm scope: which cloud environments and SaaS platforms qualify as record-hosting.
• Stand up the records inventory and assign record owners.
• Identify “top risk” record systems (customer data stores, financial systems, audit logs) and validate access controls and logging are enabled.
• Document retention schedule v1 with clear triggers and named owners.

Next 60 days (implement and prove controls)

• Implement or tighten: least privilege roles, privileged access workflow, export approvals, and legal hold steps.
• Establish backup protections and run restore tests for priority systems; document results and remediation items.
• Implement tamper-resistant log storage for record access/modification logs where feasible.
• Package evidence binders per system of record (governance + technical proof).

By 90 days (operate and audit-proof)

• Run an internal mini-audit: pick record categories and walk them through retention, access, change history, export controls, and restore capability.
• Close gaps found in restore testing, access reviews, and logging coverage.
• Formalize ongoing cadence: access reviews, restore tests, retention exception review, and policy-change approvals.
• If third parties host record systems, update due diligence and contracts to reflect record protection responsibilities and evidence expectations.

Frequently Asked Questions

What counts as a “record” in cloud systems?

Treat as a record any cloud-hosted data you must keep as evidence of actions, transactions, decisions, or compliance. If you would need it for an audit, dispute, customer request, or internal investigation, manage it under this requirement. ¹

Do audit logs count as records that must be protected?

Yes in practice, because they are often the evidence of access and change history, and they face falsification and deletion risks. Protect log integrity and access tightly, and retain logs in line with your obligations and investigation needs. ¹

How do I show “protection from falsification” to an auditor?

Show immutable or tamper-evident logging for record changes, plus change control records for schema/policy updates. Auditors usually accept a clear chain: who changed what, when, how it was approved, and where the evidence is stored. ¹

What’s the shared responsibility angle for record protection?

Your cloud provider may cover parts of physical security and platform resilience, but you still own record classification, access governance, export controls, retention configuration, and many integrity controls. Document responsibility boundaries and keep evidence of how you verify provider commitments. ¹

We have retention rules, but teams keep exporting CSVs. How do we control that?

Define approved export paths, require approvals for sensitive exports, and log export events where your systems support it. Add guidance that exports must be stored only in managed repositories with access control and retention, not personal drives or email threads.

What evidence is the fastest win if I have limited time before an audit?

Produce a records inventory for the scoped environment, a retention schedule with triggers, recent access review evidence for key record systems, and at least one documented restore test for a system of record. Pair that with logging evidence that shows record access and changes are captured and protected. ¹

Footnotes

1. ISO/IEC 27017:2015 Information technology — Security techniques — Code of practice for information security controls based on ISO/IEC 27002 for cloud services