Enterprise-scale seamless onboarding and deployment of Azure Sentinel using Lighthouse for multi-tenant environments

NCC Group is offering a new fully Managed Detection and Response (MDR) service for our customers in Azure. This blog post gives a behind the scenes view of some of the automated processes involved in setting up new environments and managing custom analytics for each customer, including details about our scripting and automated build and … Continue reading Enterprise-scale seamless onboarding and deployment of Azure Sentinel using Lighthouse for multi-tenant environments

Incremental Machine Learning by Example: Detecting Suspicious Activity with Zeek Data Streams, River, and JA3 Hashes

tl:dr Incremental Learning is an extremely useful machine learning paradigm for deriving insight into cyber security datasets. This post provides a simple example involving JA3 hashes showing how some of the foundational algorithms that enable incremental learning techniques can be applied to novelty detection (the first time something has happened) and outlier detection (rare events) … Continue reading Incremental Machine Learning by Example: Detecting Suspicious Activity with Zeek Data Streams, River, and JA3 Hashes

Abusing cloud services to fly under the radar

tl;dr NCC Group and Fox-IT have been tracking a threat group with a wide set of interests, from intellectual property (IP) from victims in the semiconductors industry through to data from the airline industry. In their intrusions they regularly abuse cloud services from Google and Microsoft to achieve their goals. NCC Group and Fox-IT observed … Continue reading Abusing cloud services to fly under the radar

Using AWS and Azure for Cost Effective Log Ingestion with Data Processing Pipelines for SIEMs

Liam Stevenson, Associate Director of Technical Services within NCC Group's Managed Detection & Response division, shows how to derive significant cost efficiencies in SIEM platform consumption with smart log ingestion utilizing pre-processing data pipelines and modern cloud services. Doing so significantly reduces data volumes to the SIEM without loosing the residual value and accessibility of the underlying data.