SimuLand: Understand adversary tradecraft and improve detection strategies
At Microsoft, we continuously collaborate with customers and the InfoSec community to learn more about the latest adversary tradecraft so that we can improve our detection strategies across all our security services. Even though those detections are already built into our products, and protecting customers today, we believe it is important for security researchers to go beyond alerts and detections to understand the underlying attack behaviors and technical implementation of adversary techniques. This also empowers others in the InfoSec community to better respond to investigations of related attacks. To help the broader security community with these efforts, we are releasing SimuLand.
SimuLand is an open-source initiative by Microsoft to help security researchers around the world deploy lab environments that reproduce well-known techniques used in real attack scenarios, actively test and verify the effectiveness of related Microsoft 365 Defender, Azure Defender, and Azure Sentinel detections, and extend threat research using telemetry and forensic artifacts generated after each simulation exercise.
These lab environments will provide use cases from a variety of data sources including telemetry from Microsoft 365 Defender security products, Azure Defender, and other integrated data sources through Azure Sentinel data connectors.
