Splunk Incident Detection for Network Logs

Job ID: 39802830

Budget: $250 – $750 USD

I need to turn live network-traffic logs already streaming into Splunk into clear, actionable alerts so my team can detect and respond to incidents in real time. The core of the job is to transform raw data into reliable detections, surface them through concise dashboards, and fine-tune everything until false positives are at an absolute minimum.

What you’ll actually do here starts with making sure the data is correctly onboarded and CIM-compliant. From there you will craft correlation searches that spot suspicious patterns, wire those searches to alert actions, and provide an easy-to-read visual layer my analysts can work from. If you have hands-on experience with Splunk Enterprise Security, custom SPL, notable events and adaptive response actions, you’ll feel right at home.

Deliverables I expect:
• Accurate field extractions and CIM mapping for the supplied network traffic sources
• A set of correlation searches and real-time alerts focused on incident detection and response
• Dashboards or drill-downs that let analysts pivot quickly from alert to raw log evidence
• A short hand-off session (recorded) so my team understands exactly how to maintain and expand your work

Please highlight your relevant experience with similar Splunk projects—especially anything involving firewall, NetFlow or IDS data—and outline how you usually approach tuning for low false-positive rates. I’m ready to move fast and will provide remote access to a test index the moment we agree on a start date.