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AWS Backup Restore Testing

Definition

AWS Backup Restore Testing is a feature of AWS Backup that automatically tests the recoverability of backups on a schedule by performing actual restore operations and reporting success/failure. It is the first layer in the cyber-resilience multi-layer validation pipeline.

Verbatim from the canonicalising source:

"AWS native — AWS Backup Restore Testing — Automated verification that backups are recoverable, with custom hooks via the PutRestoreValidationResult API" (Source: sources/2026-05-20-aws-cyber-resilience-on-aws-a-reference-approach-for-recovery-from-ransomware-and-destructive-events)

What it provides

  1. Scheduled restore drills — defines test plans that periodically restore selected backups into a test target.
  2. Recoverability verification — confirms the backup data is readable and the restore mechanics work.
  3. Custom validation hooks — the PutRestoreValidationResult API allows the customer to plug in workload-specific validation logic (database consistency checks, application-level integrity tests) that runs against the restored resource and reports pass/fail back to AWS Backup.

The two altitudes of validation

Restore Testing covers two altitudes:

Altitude What it validates Example
Recoverability Backup is readable; restore succeeds RDS snapshot restores into a new instance without errors
Custom validation Restored resource is functional / consistent Application can connect to the restored RDS instance and run a sentinel query

The recoverability check is automatic; the custom validation is opt-in via PutRestoreValidationResult.

Role in cyber-resilience

In the cyber-resilience reference architecture, Restore Testing plays two roles:

Routine readiness (pre-incident)

The canonicalising source's starting checklist explicitly says:

"Enable AWS Backup Restore Testing on a regular schedule, and enable Amazon GuardDuty Malware Protection for backup and volume scanning."

Routine Restore Testing ensures that when an incident happens, the recovery mechanism actually works. Backups that are never tested may have:

  • Schema-version mismatches between backup and restore environment.
  • Permissions issues that prevent restore.
  • Configuration drift between backup and restore time.

These problems should surface in routine drills, not at incident time.

Validation pipeline layer (during incident)

During incident response, Restore Testing's PutRestoreValidation Result API is the integration point for the multi-layer validation pipeline:

Layer Mechanism
Restore Testing recoverability Built-in
GuardDuty Malware Protection Triggered on the restored volume
Marketplace partner content scanners Triggered on the restored volume
Workload-specific checks Custom hooks via PutRestoreValidationResult
Log/audit review External to Restore Testing

The custom-hooks mechanism is the integration pivot — it lets the customer's validation logic feed back into AWS Backup's view of which restores passed.

The PutRestoreValidationResult API

This is the key API for cyber-resilience integration. The flow:

  1. AWS Backup initiates a restore (per the test plan or as part of recovery).
  2. After restore completes, the customer's validation logic runs (typically Lambda-triggered, a CodeBuild project, or a custom service in the IRE).
  3. The validation logic calls PutRestoreValidationResult with either VALIDATION_SUCCESSFUL or VALIDATION_FAILED plus a reason.
  4. AWS Backup records the result; surfaces it in the test plan reports.

For cyber-resilience, the validation logic encompasses:

  • Database consistency check (e.g. PostgreSQL pg_amcheck).
  • Application invariant verification (e.g. row counts match expected ranges).
  • Configuration diff vs known-good baseline.

Routine vs incident-time scheduling

Schedule Purpose Frequency
Routine (pre-incident) Recoverability assurance Weekly / monthly per resource
Incident-time Validation pipeline execution Every candidate evaluated during recovery

The routine schedule is configured ahead of time; the incident-time runs are triggered as part of Stage 2 of the parallel recovery workflow.

Composition with logically air-gapped vault

Restore Testing works against backups in any AWS Backup vault, including the logically air-gapped vault. The combination provides:

  • Storage protection (vault Compliance mode) + recoverability validation (Restore Testing) = comprehensive backup readiness.

A backup that's protected but never validated is theoretically recoverable but not provably so. A backup that's validated but not protected can be deleted by an attacker. Both layers are needed.

Generalisation beyond AWS

Equivalent automated-restore-testing services:

  • GCP Backup and DR Service restore plans — comparable functionality.
  • Azure Backup recovery validation — restore testing in the Azure portfolio.
  • Veeam SureBackup / SureReplica — third-party automated restore testing.

The structural property: scheduled actual-restore drills as proof of recoverability, with hookable custom validation.

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