Earlier this year, Greg Cottingham wrote a great article breaking down an example of an Azure Security Center detected attack against SQL Server. In this post, we'll go into more detail on the way that security center analyzes data at-scale to detect these types of attacks, and how the output from these approaches can be used to pivot to other intrusions that share some common techniques.
With attack techniques rapidly evolving, many organizations are struggling to keep pace. This is exacerbated by a scarcity of security talent, and companies can no longer rely solely on detections written by human beings. By baking the intuition of human security analysts inside algorithms, Azure Security Center can automatically adapt to changing attack patterns.
Read about it in the Azure blog.