MSSP and threat detection engineer: Used by a Managed Security Service Provider (MSSP) and threat detection engineer for security monitoring and incident management.Ģ. The primary use cases of Microsoft Sentinel include:ġ. There are only some basic ones in Sentinel. In Splunk, I would like to see some more advanced visualization.
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It really explains a lot about how to use the operators, what they're good for, and what they're not good for in terms of optimizing CPU usage. Every operator and sub-operator has its own page. They could replicate what Splunk has in terms of their query language documentation. In terms of product usage, the documentation is pretty good, but I'd like a lot more documentation on Kusto Query Language. Documentation is the main thing that could be improved. Although the integrations are good, it can sometimes be information overload. As an engineer that focuses on threat detection, it can sometimes be hard to see where all of the detections are coming from. A number of the technologies run proprietary Microsoft algorithms, like machine learning algorithms and detection algorithms, as well as having out-of-the-box SIEM content developed by Microsoft. And with Defender for Cloud, security alert ingestion is freeĪlthough the integrations are good, it can sometimes be information overload. Even EKS, Elastic Kubernetes Service, on AWS can be integrated, as can the GKE (Google Kubernetes Engine). We have customers for whom we are protecting their AWS workloads. In addition, it can be integrated with Sentinel for EDR deep-dive analytics. That means you have one more workspace, under Azure, not Defender for Cloud, where you can see the security incidents. With Defender for Cloud, all these sources can be seamlessly integrated and you can then track the security incidents in Microsoft's XDR platform.
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There is EDR for Windows and Linux servers, and it even protects different kinds of containers. For customers in Azure, there are a lot of use cases specific to protecting workloads and PaaS and SaaS in Azure and beyond Azure, if a customer also has on-premises locations. Microsoft Defender for Cloud has multiple components such as Defender for Servers, Defender for PaaS, and Defender for databases. I don't see any difficulties in integrating any of the log sources, even to the extent of collecting IoT log sources. And when it comes to servers or something where there is an agent for Windows or Linux, the agent can collect the logs and ship them to the Sentinel platform. When it comes to a third party specifically, such as log sources in a data center or on-premises, we need a log collector so that the logs can be forwarded to the Sentinel platform. Within five to six steps, you can integrate AWS workloads and the logs can be ingested into Sentinel.
You just click, put in your subscription details, include your IAM, and you are finished. That is true even with AWS or GCP because most of the connectors are already available out-of-the-box. And combining M365 with Sentinel, if you want to call it integration, takes just a few clicks: "next, next finish." If it is all M365-native, it is a maximum of three or four steps and you'll be able to ingest all the logs into Sentinel. The SOAR engine also uniquely helps us to automate most of the incidents with automated enrichment and that cuts out the L1 analyst work. It's the least costly and it delivers more value to the customer. Other vendors charge heavily for the SOAR, but with Sentinel it is upside-down: the SOAR is the lowest-hanging fruit. That is the beauty of the solution because the SOAR is the costliest component in the market today. Compared to any other product, where customization is not available, you can fine-tune the SOAR and you'll be charged only when your playbooks are triggered.
In addition, the SOAR component is a pay-per-use model. It allows you to use the out-of-the-box machine learning and AI capabilities, but it also allows you to bring your own AI/ML, by bringing in your own IPs and allowing the platform to accept them and run that on top of it. Among the unique features is the fact that it has built-in UEBA and analytical capabilities. It's a Big Data security analytics platform.
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