Attributed metadata history
Up to 100 retained publisher events per page for 140bee9fb066f6aeb6b072da0ce887a934ff63d815af8caa058a0d7fe5cfeea8. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_f9879f264b7a8ec1d7
observed · 2026-10-12 17:15:04 UTC
How to detect Azure Monitor transformation drops before they create blind spots in your security monitoring.Every hunt, detection rule and investigation starts with one assumption: the data in your workspace shows what actually happened.But it doesn’t always. It only shows the data that made it through the pipeline.That pipeline has a filter that many security teams have never reviewed. They may not know how much data it drops or monitor it for changes. If someone changes the filter, important events may stop reaching your tables. No alert fires because the data needed to trigger it is missing. Those events were dropped before they were ever stored.The good news is that dropped data leaves clues, just not where you would normally look.This article explains where the filter lives, why it sits outside the SOC’s usual view and which signals you can monitor to catch both malicious changes and simple configuration mistakes.Understanding Data TransformationsIn Azure Monitor and Microsoft Sentinel, data does not go straight from the source into your workspace. It first passes through a Data Collection Rule (DCR).The DCR decides what data to collect, how to change it and
Fingerprint: de59b95d427ea3300ba1f8c69b24240e8c0b21871fb1082c244e71c8454cbe38
intelligence_src_f9879f264b7a8ec1d7
observed · 2026-10-12 17:15:04 UTC
available
Fingerprint: cd55f3f7057add5a123a45847e8b00f32624ebea301db9e02e2a88688ac5a173