Direct answer
Retention must exceed plausible detection delay plus investigation and recovery-point uncertainty. A simple 30-day policy can fail when attacker activity began earlier or clean-point analysis takes days. Use multiple retention tiers and preserve older periodic points so short-term churn does not erase all pre-compromise history.
How to frame the decision
Operational confidence comes from repeatable evidence: logs, timestamps, restored-object counts and application checks. A successful backup job is an input to testing, not proof of recoverability.
For this decision, document the protected service, assumed compromise, required recovery point and the maximum acceptable time to a trusted business state. Keep product capability, configured capability and tested capability as three separate fields: they are rarely identical.
What has been observed in practice?
The following field notes are anonymized and dated so that practitioner experience is not confused with current product documentation or a universal benchmark.
Decision table
The following factors convert the decision into requirements that can be reviewed, tested and retained as evidence.
| Factor | Practical guidance | Evidence to retain |
|---|---|---|
| Detection delay | Use incident history and threat assumptions to define a plausible lookback period. | A documented range rather than one optimistic number. |
| Retention tiers | Keep dense recent points plus weekly or monthly long-tail points under protected retention. | A policy export showing independent tiers and expiry. |
| Hold capability | Allow investigators to preserve relevant points without weakening normal immutability. | A tested legal or incident hold workflow. |
Validation procedure
Run this procedure in a non-production or isolated recovery environment. Define a named owner and time limit before the test begins.
- Collect machine-readable evidence rather than relying on a green dashboard.
- Translate the requirement into a pass/fail test for set backup retention from ransomware dwell time.
- Capture timestamps, logs, restored-object counts and operator actions for each decision factor.
- Repeat the test with one dependency unavailable so the result reflects a hostile recovery, not a clean demo.
A pass means the recovery outcome and supporting evidence meet the pre-declared requirement. A partial restore, undocumented manual workaround or result that depends on an unavailable production service should be recorded as an exception—not rounded up to a success.
Common failure modes
These conditions can make a compliant-looking design unusable during an actual recovery.
- Retention equals the business RPO and ignores detection delay.
- All older points expire in the same short window.
- Incident holds require disabling immutable retention globally.
Failure modes should become tabletop injects and technical tests. If the team has never performed the recovery while one normal dependency is unavailable, the runbook describes a best-case restore rather than a ransomware recovery.
Evidence checklist
Keep this evidence with the recovery plan so that a reviewer can distinguish a documented capability from a reproduced result.
- Assign an owner and closure date to every failed assertion.
- A tested requirement exists for: Detection delay.
- A tested requirement exists for: Retention tiers.
- A tested requirement exists for: Hold capability.
- Evidence includes a date, environment, operator and reproducible procedure.
- The exception path identifies who can accept residual risk.
Frequently asked questions
These answers state the decision in plain language and preserve the conditions that can change it.
Are fourteen backup generations enough for ransomware?
Fourteen daily recoverable points can be a useful starting discussion, but the correct window must exceed the organization’s plausible detection and investigation delay. Also test whether every advertised point can actually be restored after retention and lifecycle processing.
Why is recoverable days better than generation count?
Generation count hides schedule gaps, failed jobs and multiple same-day points. Recoverable days state the business outcome directly and can be tested against a calendar of valid recovery points.
Does a cloud full backup store another complete copy each day?
Not necessarily. Services can present a full point-in-time restore while storing only changed blocks or deduplicated data underneath, so distinguish the logical recovery point from physical storage consumption.