Building a Detection-First SIEM: A Strategic Look at Rules, Dashboards, and Threat-Informed Use Cases

Hey everyone,

I recently wrote a piece breaking down what it actually means to build and run a detection-first SIEM—based on years of working in and around SOCs.

Too often, we talk about rules and alerts, but not the strategy behind them.

The paper covers:

• How to engineer different rule types (scheduled, NRT, anomaly, cross-correlation, TI/fusion)
• A practical take on anomaly detection using custom baselines (not just UEBA buzzwords)
• Real-world dashboarding comparisons across Splunk, Sentinel, Elastic, and Chronicle
• Threat-informed use case design based on MITRE, intel reports, and emulation
• The role of threat hunting as a continuous source of detection refinement

It’s not vendor-biased—just focused on what works technically and strategically.

If you’re a detection engineer, content developer, or SOC architect, I’d love your feedback or your take on how you’re handling these in your environment.

📎 Here’s the link: [https://www.linkedin.com/pulse/siem-rules-analytic-categories-reza-adineh-etjhf\]

Also curious:

• What’s your go-to platform for dashboarding?
• Are you using ATT&CK as a reference in detection engineering?
• How often do you validate “normal” in your environment?

Let’s exchange notes. Happy to share my workflows if anyone’s curious.