Splunk Enterprise

Looking for Ideas: Applying AI/ML in SOC with Splunk

Nrsch
Explorer

Hi everyone,

I’ve recently been exploring Splunk in more depth. I managed to install UBA on my laptop, and I also worked with DSDL by adding it to Splunk. I was able to activate four models that are tied to the ES correlation rules included with the ESCU app.

Now I have a question: since I already have a background in machine learning and deep learning (and I’ve built Python projects in this area before), I’d like to understand how I can start creating practical SOC-related projects in Splunk that make use of AI.

Any guidance, examples, or suggestions would be greatly appreciated.

Thanks in advance!

Labels (1)
0 Karma

livehybrid
SplunkTrust
SplunkTrust

Hi @Nrsch 

Check out https://www.splunk.com/en_us/blog/artificial-intelligence/splunk-ai-rag-cybersecurity-detections.htm...which I think might give you some ideas along with some searches to get started.

🌟 Did this answer help you? If so, please consider:

  • Adding karma to show it was useful
  • Marking it as the solution if it resolved your issue
  • Commenting if you need any clarification

Your feedback encourages the volunteers in this community to continue contributing

Get Updates on the Splunk Community!

Automatic Discovery Part 1: What is Automatic Discovery in Splunk Observability Cloud ...

If you’ve ever deployed a new database cluster, spun up a caching layer, or added a load balancer, you know it ...

Real-Time Fraud Detection: How Splunk Dashboards Protect Financial Institutions

Financial fraud isn't slowing down. If anything, it's getting more sophisticated. Account takeovers, credit ...

Splunk + ThousandEyes: Correlate frontend, app, and network data to troubleshoot ...

 Are you tired of troubleshooting delays caused by siloed frontend, application, and network data? We've got a ...