Firewall network traffic logs are the largest driver of Microsoft Sentinel ingestion costs. Yet they remain a critical source of information for threat detection, investigations & incident response. Explore how Sentinel Summary Rules can reduce the cost of ingesting firewall traffic events while retaining the visibility SecOp teams need to detect threats & investigate incidents.
Tag: Threat Detection
Reducing Microsoft Sentinel Costs Without Compromising Detection – Part 1: The Summary Rules Quest
This blog is the first in a series exploring how Summary Rules, together with Auxiliary or Data Lake storage, can help organizations optimize SIEM costs without compromising core threat detection and monitoring capabilities.
The Detection & Response Chronicles: Covert Operations Through QEMU
Adversaries have always relied on legitimate tools to carry out their attacks. These tools are already trusted by security solutions, which allows them to blend in with normal activity, maintain a low footprint, and make detection much harder for defenders. By using these legitimate tools, adversaries can carry out a wide range of actions, such as moving laterally across networks, establishing C2 channels, or maintaining persistence, all without triggering any alerts.
Detection Engineering: Practicing Detection-as-Code – Tuning – Part 8
In Part 7, we showcased how we can leverage automation to continuously monitor the performance and trigger rate of our deployed detections. In this part, we are going to investigate how we can introduce automation and utilize continuous deployment pipelines to streamline the tedious task of tuning our detections.
Detection Engineering: Practicing Detection-as-Code – Monitoring – Part 7
In this part, we are going to introduce automation to effectively monitor our deployed detections. By setting up automations at this phase we adopt a proactive approach towards maintenance, allowing our team to take action before a blowout of alerts or an untuned detection is escalated by the SOC.
Detection Engineering: Practicing Detection-as-Code – Deployment – Part 6
The deployment phase is one of the most challenging steps in the Detection Development Life Cycle due to its implementation complexity. In this part, we will explore the principles and practices of deploying rules to target platforms. Additionally, we will go through some of the challenges encountered when designing and implementing a deployment pipeline, along with suggestions on how to overcome them, to ensure that our Continuous Deployment pipeline operates smoothly.






