As Anton already mentioned here and here, our update of the big SIEM paper was turned into two new papers:
How to Architect and Deploy a SIEM Solution
SIEM is expected to remain a mainstay of security monitoring, but many organizations are challenged with deploying the technology. This guidance framework provides a structured approach for technical professionals working to architect and deploy a SIEM solution.
Published: 16 Oct 2018
Anton Chuvakin | Anna Belak | Augusto Barros
How to Operate and Evolve a SIEM Solution
Managing and using a SIEM is difficult, and many projects are stuck in compliance or minimal value deployments. Most SIEM challenges come from the operations side, not broken tools. This guidance supports technical professionals focused on security working to operate, tune and utilize SIEM tools.
Published: 05 Nov 2018
Augusto Barros | Anton Chuvakin | Anna Belak
We decided to split the document so we could expand on those two main activities, deploying and operating a SIEM, without the worry of building a document so big it would scare away the readers. A great secondary outcome of that is we were able to put together separate guidance frameworks for each one of those activities. Some of my favorite pieces of each doc:
“User and entity behavior analytics (UEBA)-SIEM convergence allows organizations to also include UEBA-centric use cases and machine learning (ML) capabilities in their deployment projects.” (A hype-less way to talk about “OMG AI AI!”)
“Staff shortages and threat landscape drive many organizations to SaaS SIEM, co-managed SIEM and service-heavy models for their SIEM deployments and operation.” (Because, in case you haven’t noticed, SIEM NEEDS PEOPLE TO WORK)
“Adopt the “output-driven SIEM” model, where nothing comes into a SIEM tool unless there is a clear knowledge of how it would be used.” (I know it’s old, but hey, this is our key advice for those deploying SIEM! So, still a favorite)
“Deploy use cases requiring constant baselining and anomaly detection, such as user account compromise detection, using ML/advanced analytics functions previously associated with UEBA” (because it’s not all marketing garbage; these use cases are the perfect fit for UEBA capabilities)
“Creating and refining security monitoring use cases is critical to an effective SIEM. User-created and customized detection logic delivers the most value.” (because ongoing SIEM value REQUIRES use case management)
“Develop the key operational processes for SIEM: run, watch and adapt. When necessary, fill the gaps with services such as MSS and co-managed SIEM” (we promoted “tune” to “adapt”)
“Prepare and keep enough resources to manage and troubleshoot log collection issues. New sources will be added; software upgrades change log collection methods and formats; environment changes often cause collection disruption.” (ML capabilities, big data tech, all that is cool, but a big chunk of SIEM work is still being able to get the data in)
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