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A monitoring dashboard no longer showing old data-integrity issues does not prove the records were deleted—or that the tool lied. First identify what disappeared, then check retention rules, collection health, audit history, and the underlying records before drawing conclusions about why it happened.
What disappeared: alerts, findings, or the underlying records?
“Past issues” can mean different things: alert history, raw events, dashboard entries, or findings generated from monitored data. Those records may have different retention periods and storage locations. A dashboard can stop displaying an issue even when its underlying event remains available elsewhere.
Start by recording the affected platform and plan, workspace or account, time range, and exact issue identifiers. Compare screenshots or exports from before and after the change if you have them. Check the raw event store, available exports, backups, and audit history—not just the current dashboard view. If an issue is absent from one view, that alone does not establish that the underlying record was deleted.
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Check retention and deletion settings
Retention varies by vendor, service, data type, plan, and configuration. Find the policy and settings that apply to the exact record type in your account. Look for changes to retention periods, filters, alert-clearing behavior, workspace configuration, or data-management rules. Also check who had permission to change those settings or remove records, where the platform records that information.
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Published vendor figures illustrate why a number from one service should not be treated as a general monitoring standard. LogicMonitor’s retention page, updated September 1, 2026, lists time-series sample retention of 3 months to 2+ years according to the service agreement. It lists alert history of 30 days to 2 years depending on plan, with the maximum applying only to cleared alerts; audit-log retention is listed as the same period as the plan’s alert history. These are LogicMonitor-specific terms, not evidence about an unnamed tool or your account. LogicMonitor data retention
Look for evidence of collection failures and configuration changes
If records stopped appearing because monitoring or rule execution failed, health logs may show missed or unsuccessful runs. If someone changed a rule, pipeline, dashboard, or retention setting, an audit trail may identify the change, actor, and time. These records are useful only if the product provides them and the relevant logging was enabled and retained.
If the platform is Microsoft Sentinel
Microsoft Sentinel documents two relevant log categories. SentinelHealth records analytics-rule runs, whether they succeeded or failed, failure reasons, and event counts. SentinelAudit records rule changes, including changed properties, before-and-after settings, the actor, source IP, and change time. SentinelHealth collection must be turned on for the workspace before its tables are collected. Their presence or absence does not, by itself, establish what happened in a particular workspace. Microsoft Sentinel analytics rule integrity monitoring
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Datadog’s Audit Trail documentation describes events such as index-retention changes, log-pipeline changes, and dashboard changes. If Audit Trail was available and configured in your environment, check whether it records relevant changes during the affected period. The documentation describes the feature; it does not establish that any particular records were deleted. Datadog Audit Trail
If the platform is a Microsoft online service
Microsoft says that tools used to collect and process audit records in its described online services do not allow permanent or irreversible changes to the original audit-record content or time ordering. That statement is scoped to the services and controls covered by Microsoft’s documentation; it cannot be applied to an unidentified monitoring tool. Microsoft also says service teams determine precise retention periods and that most of the described audit-log data is retained for 90 days in Cosmos and 180 days in Kusto. Those durations describe most of that Microsoft audit-log data, not a universal retention policy or necessarily the issue records you are trying to recover. Microsoft online-service audit logging and monitoring
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Build a timeline before attributing intent
Preserve the evidence you can access, then line up when the issues were last visible with any relevant retention, configuration, access, and collection events. Record the product and version or plan, affected account or workspace, time range, issue identifiers, and what each view or export shows. Ask the vendor to explain any unexplained gap before claiming that it was deliberate concealment.
Auditability is a general control objective, not proof about this incident: a government-hosted manager’s guide describes detective controls as identifying errors or events that preventive controls did not stop, and recommends recording user activity, key transactions, and unusual conditions in exception and summary reports. Manager’s guide to accountability and information governance
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