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Anomaly detection

Concept

Anomaly detection identifies rare items, events or observations that deviate from expected behavior; the episode recommends dynamic baselines, for example via AI Builder, over static thresholds to reduce false positives.

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Title graphic: Anomaly detection (Concept)
TypeConcept
Wikipediaen.wikipedia.org/wiki/Anomaly_detection

Key points about Anomaly detection

Episodes about Anomaly detection

Microsoft Defender for Identity - Simply Explained

2026-07-22 · Video on YouTube

Attackers no longer break in - they log in with stolen credentials, and traditional security tools never notice. This episode explains how Microsoft Defender for Identity watches your on-premises Active Directory with sensors and behavioral analytics.…

Automate Real-Time Actions with Fabric Data Activator

2025-08-15 · Video on YouTube

Stop waiting on dashboards. Fabric Data Activator turns live signals into instant actions—pausing bad pipelines, placing purchase orders, opening D365 work orders, or triggering API calls the moment thresholds hit. Because it’s native to Microsoft Fabric, it…

2025-08-15 – Automate Real-Time Actions with Fabric Data Activator2026-07-22 – Microsoft Defender for Identity - Simply Explained2025-082026-07
Timeline of episodes about Anomaly detection

Articles about Anomaly detection (5)

Frequently asked questions

What results do the show notes cite?

They list improvements such as 70 percent in anomaly detection and incident response, 45 percent in operational efficiency and 80 percent lower decision latency. These are claims from the source material, not guarantees. · From the episode: Automate Real-Time Actions with Fabric Data…

Glossary

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Sources

Maintained by Mirko Peters (Microsoft MVP) · Last updated: